SemEval 2013: Program


Day 1: Thrsday June 13, 2013
08:00--18:30    *SEM Main Conference and Shared Task Sessions (no SemEval on Day 1)



18:30--20:30    Session PLN1 - *SEM Opening Reception and STS Poster Session (All SemEval attendees are invited)



Day 2: Friday June 14, 2013
08:00--08:30    Registration



08:30--09:30    Session SE1 - Session 1
Chair: Chris Biemann



08:30--08:40    Opening remarks



08:40--09:00    Session SE1 - SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations
Naushad UzZaman1,  Hector Llorens2,  Leon Derczynski3,  James Allen4,  Marc Verhagen5,  James Pustejovsky5
1Department of Computer Science, University of Rochester, USA, 2Universidad de Alicante, 3University of Sheffield, 4University of Rochester, 5Brandeis University
File

09:00--09:20    Session SE1 - ClearTK-TimeML: A minimalist approach to TempEval 2013
Steven Bethard
University of Colorado Boulder
File

09:20--09:30    Session SE1 - HeidelTime: Tuning English and Developing Spanish Resources for TempEval-3
Jannik Strötgen,  Julian Zell,  Michael Gertz
Heidelberg University
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09:30--10:30    Session PLN2 - Keynote address: David Forsyth



10:30--11:00    Coffee Break



11:00--12:30    Session SE2 - Session 2
Chair: Els Lefever



11:00--11:10    Session SE2 - ATT1: Temporal Annotation Using Big Windows and Rich Syntactic and Semantic Features
Hyuckchul Jung1 and Amanda Stent2
1AT&T Labs Research, 2AT&T Labs - Research
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11:10--11:30    Session SE2 - Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization
Matteo Negri1,  Alessandro Marchetti2,  Yashar Mehdad3,  Luisa Bentivogli1,  Danilo Giampiccolo2
1Fondazione Bruno Kessler, 2CELCT, 3University of British Columbia
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11:30--11:50    Session SE2 - SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT
Sergio Jimenez1,  Claudia Becerra1,  Alexander Gelbukh2
1National University of Colombia, 2Instituto Politécnico Nacional
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11:50--12:10    Session SE2 - SemEval-2013 Task 5: Evaluating Phrasal Semantics
Ioannis Korkontzelos1,  Torsten Zesch2,  Fabio Massimo Zanzotto3,  Chris Biemann4
1National Centre for Text Mining, The University of Manchester, 2UKP Lab, Technische Universität Darmstadt, 3Department of Enterprise Engineering, University of Rome "Tor Vergata", 4TU Darmstadt
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12:10--12:30    Session SE2 - HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures
Christian Wartena
Hochschule Hannover - University of Applied Sciences and Arts
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12:30--13:30    Session SP1 - Lunch Break + Poster Session 1 for Tasks 1, 5, 8



   Session SP1 - SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations
Naushad UzZaman1,  Hector Llorens2,  Leon Derczynski3,  James Allen4,  Marc Verhagen5,  James Pustejovsky5
1Department of Computer Science, University of Rochester, USA, 2Universidad de Alicante, 3University of Sheffield, 4University of Rochester, 5Brandeis University
File

   Session SP1 - ClearTK-TimeML: A minimalist approach to TempEval 2013
Steven Bethard
University of Colorado Boulder
File

   Session SP1 - ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge
Michele Filannino,  Gavin Brown,  Goran Nenadic
University of Manchester
File

   Session SP1 - HeidelTime: Tuning English and Developing Spanish Resources for TempEval-3
Jannik Strötgen,  Julian Zell,  Michael Gertz
Heidelberg University
File

   Session SP1 - FSS-TimEx for TempEval-3: Extracting Temporal Information from Text
Vanni Zavarella and Hristo Tanev
Joint Research Center - European Commission
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   Session SP1 - ATT1: Temporal Annotation Using Big Windows and Rich Syntactic and Semantic Features
Hyuckchul Jung1 and Amanda Stent2
1AT&T Labs Research, 2AT&T Labs - Research
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   Session SP1 - JU_CSE: A CRF Based Approach to Annotation of Temporal Expression, Event and Temporal Relations
Anup Kumar Kolya1,  Amitava Kundu1,  Rajdeep Gupta1,  Asif Ekbal2,  Sivaji Bandyopadhyay2
1Jadavpur Univeristy, 2IIT Patna
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   Session SP1 - NavyTime: Event and Time Ordering from Raw Text
Nate Chambers
US Naval Academy
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   Session SP1 - SUTime: Evaluation in TempEval-3
Angel Chang and Christopher D. Manning
Stanford University
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   Session SP1 - KUL: Data-driven Approach to Temporal Parsing of Newswire Articles
Oleksandr Kolomiyets and Marie-Francine Moens
KU Leuven
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   Session SP1 - UTTime: Temporal Relation Classification using Deep Syntactic Features
Natsuda Laokulrat1,  Makoto Miwa2,  Yoshimasa Tsuruoka1,  Takashi Chikayama1
1The University of Tokyo, 2The University of Manchester
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   Session SP1 - SemEval-2013 Task 5: Evaluating Phrasal Semantics
Ioannis Korkontzelos1,  Torsten Zesch2,  Fabio Massimo Zanzotto3,  Chris Biemann4
1National Centre for Text Mining, The University of Manchester, 2UKP Lab, Technische Universität Darmstadt, 3Department of Enterprise Engineering, University of Rome "Tor Vergata", 4TU Darmstadt
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   Session SP1 - HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures
Christian Wartena
Hochschule Hannover - University of Applied Sciences and Arts
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   Session SP1 - UMCC_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance
Héctor Dávila1,  Antonio Fernández Orquín1,  Alexander Chávez1,  Yoan Gutiérrez1,  Armando Collazo1,  José I. Abreu1,  Andrés Montoyo2,  Rafael Muñoz2
1University of Matanzas, 2University of Alicante
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   Session SP1 - MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting
Tim Van de Cruys1,  Stergos Afantenos2,  Philippe Muller2
1IRIT & CNRS, 2IRIT, Toulouse University
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   Session SP1 - IIRG: A Naive Approach to Evaluating Phrasal Semantics
Lorna Byrne,  Caroline Fenlon,  John Dunnion
University College Dublin
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   Session SP1 - ClaC: Semantic Relatedness of Words and Phrases
Reda Siblini and Leila Kosseim
Concordia University
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   Session SP1 - UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags
Sergio Jimenez1,  Claudia Becerra1,  Alexander Gelbukh2
1National University of Colombia, 2Instituto Politécnico Nacional
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   Session SP1 - Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization
Matteo Negri1,  Alessandro Marchetti2,  Yashar Mehdad3,  Luisa Bentivogli1,  Danilo Giampiccolo2
1Fondazione Bruno Kessler, 2CELCT, 3University of British Columbia
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   Session SP1 - ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures
Jiang Zhao1,  Man Lan2,  Zheng-Yu Niu3
1ECNU, 2East China Normal University, 3Baidu Inc
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   Session SP1 - BUAP: N-gram based Feature Evaluation for the Cross-Lingual Textual Entailment Task
Darnes Vilariño,  David Pinto,  Saul León,  Yuridiana Aleman,  Helena Gómez
Benemérita Universidad Autónoma de Puebla
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   Session SP1 - ALTN: Word Alignment Features for Cross-lingual Textual Entailment
Marco Turchi and Matteo Negri
Fondazione Bruno Kessler
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   Session SP1 - SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT
Sergio Jimenez1,  Claudia Becerra1,  Alexander Gelbukh2
1National University of Colombia, 2Instituto Politécnico Nacional
File

   Session SP1 - Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features
Yvette Graham1,  Bahar Salehi2,  Timothy Baldwin3
1The University of Melbourne, Centre for Next Generation Localisation, 2University of Melbourne, 3The University of Melbourne
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13:30--14:30    Session PLN3 - Joint Panel: Future of *SEM / STS Shared Task / SemEval



14:30--15:30    Session SE3 - Session 3
Chair: Myroslava Dzikovska



14:30--14:50    Session SE3 - UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags
Sergio Jimenez1,  Claudia Becerra1,  Alexander Gelbukh2
1National University of Colombia, 2Instituto Politécnico Nacional
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14:50--15:10    Session SE3 - SemEval-2013 Task 4: Free Paraphrases of Noun Compounds
Iris Hendrickx1,  Zornitsa Kozareva2,  Preslav Nakov3,  Diarmuid Ó Séaghdha4,  Stan Szpakowicz5,  Tony Veale6
1Universidade de Lisboa, 2University of Southern California, 3Qatar Computing Research Institute, Qatar Foundation, 4University of Cambridge, 5University of Ottawa; Polish Academy of Sciences, 6University College Dublin
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15:10--15:30    Session SE3 - MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds
Tim Van de Cruys1,  Stergos Afantenos2,  Philippe Muller2
1IRIT & CNRS, 2IRIT, Toulouse University
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15:30--16:30    Session SP2 - Coffee Break + Poster Session 2 for Tasks 4, 10, 11, 12



   Session SP2 - SemEval-2013 Task 4: Free Paraphrases of Noun Compounds
Iris Hendrickx1,  Zornitsa Kozareva2,  Preslav Nakov3,  Diarmuid Ó Séaghdha4,  Stan Szpakowicz5,  Tony Veale6
1Universidade de Lisboa, 2University of Southern California, 3Qatar Computing Research Institute, Qatar Foundation, 4University of Cambridge, 5University of Ottawa; Polish Academy of Sciences, 6University College Dublin
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   Session SP2 - SFS-TUE: Compound Paraphrasing with a Language Model and Discriminative Reranking
Yannick Versley
University of Tuebingen
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   Session SP2 - IIIT-H: A Corpus-Driven Co-occurrence Based Probabilistic Model for Noun Compound Paraphrasing
Nitesh Surtani,  Arpita Batra,  Urmi Ghosh,  Soma Paul
IIIT-H
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   Session SP2 - MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds
Tim Van de Cruys1,  Stergos Afantenos2,  Philippe Muller2
1IRIT & CNRS, 2IRIT, Toulouse University
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   Session SP2 - SemEval-2013 Task 10: Cross-lingual Word Sense Disambiguation
Els Lefever and Véronique Hoste
LT3, Hogeschool Gent
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   Session SP2 - XLING: Matching Query Sentences to a Parallel Corpus using Topic Models for WSD
Liling Tan and Francis Bond
Nanyang Technological University
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   Session SP2 - HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10
Alex Rudnick,  Can Liu,  Michael Gasser
Indiana University
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   Session SP2 - LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering
Marianna Apidianaki
LIMSI-CNRS
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   Session SP2 - WSD2: Parameter optimisation for Memory-based Cross-Lingual Word-Sense Disambiguation
Maarten van Gompel and Antal van den Bosch
Radboud University Nijmegen
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   Session SP2 - NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)
Marine Carpuat
National Research Council
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   Session SP2 - SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application
Roberto Navigli and Daniele Vannella
Sapienza University of Rome
File

   Session SP2 - Duluth : Word Sense Induction Applied to Web Page Clustering
Ted Pedersen
University of Minnesota, Duluth
File

   Session SP2 - SATTY : Word Sense Induction Application in Web Search Clustering
Satyabrata Behera,  Upasana Gaikwad,  Ramakrishna Bairi,  Ganesh Ramakrishnan
IIT Bombay
File

   Session SP2 - UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description
Hans-Peter Zorn and Iryna Gurevych
UKP Lab, Technische Universität Darmstadt
File

   Session SP2 - unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering
Jey Han Lau,  Paul Cook,  Timothy Baldwin
The University of Melbourne
File

   Session SP2 - SemEval-2013 Task 12: Multilingual Word Sense Disambiguation
Roberto Navigli,  David Jurgens,  Daniele Vannella
Sapienza University of Rome
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   Session SP2 - GETALP System : Propagation of a Lesk Measure through an Ant Colony Algorithm
Didier Schwab,  Andon Tchechmedjiev,  Jérôme Goulian,  Mohammad Nasiruddin,  Gilles Sérasset,  Hervé Blanchon
Univ. Grenoble Alpes
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   Session SP2 - UMCC_DLSI: Reinforcing a Ranking Algorithm with Sense Frequencies and Multidimensional Semantic Resources to solve Multilingual Word Sense Disambiguation
Yoan Gutiérrez1,  Yenier Castañeda1,  Andy González1,  Rainel Estrada1,  Dennys D. Piug1,  Jose I. Abreu1,  Roger Pérez1,  Antonio Fernández Orquín2,  Andrés Montoyo2,  Rafael Muñoz2,  Franc Camara3
1University of Matanzas, 2University of Alicante, 3Independent Consultant
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   Session SP2 - DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation
Steve L. Manion and Raazesh Sainudiin
University of Canterbury
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16:30--18:30    Session SE4 - Session 4
Chair: Saif Mohammad



16:30--16:50    Session SE4 - SemEval-2013 Task 10: Cross-lingual Word Sense Disambiguation
Els Lefever and Véronique Hoste
LT3, Hogeschool Gent
File

16:50--17:10    Session SE4 - HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10
Alex Rudnick,  Can Liu,  Michael Gasser
Indiana University
File

17:10--17:30    Session SE4 - SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application
Roberto Navigli and Daniele Vannella
Sapienza University of Rome
File

17:30--17:50    Session SE4 - unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering
Jey Han Lau,  Paul Cook,  Timothy Baldwin
The University of Melbourne
File

17:50--18:10    Session SE4 - SemEval-2013 Task 12: Multilingual Word Sense Disambiguation
Roberto Navigli,  David Jurgens,  Daniele Vannella
Sapienza University of Rome
File

18:10--18:20    Session SE4 - GETALP System : Propagation of a Lesk Measure through an Ant Colony Algorithm
Didier Schwab,  Andon Tchechmedjiev,  Jérôme Goulian,  Mohammad Nasiruddin,  Gilles Sérasset,  Hervé Blanchon
Univ. Grenoble Alpes
File

18:20--18:30    Session SE4 - DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation
Steve L. Manion and Raazesh Sainudiin
University of Canterbury
File


Day 3: Saturday June 15, 2013
08:40--10:30    Session SE5 - Session 5
Chair: Theresa Wilson



08:40--09:00    Session SE5 - SemEval-2013 Task 3: Spatial Role Labeling
Oleksandr Kolomiyets1,  Parisa Kordjamshidi1,  Marie-Francine Moens1,  Steven Bethard2
1KU Leuven, 2University of Colorado Boulder
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09:00--09:20    Session SE5 - SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge
Myroslava Dzikovska1,  Rodney Nielsen2,  Chris Brew3,  Claudia Leacock4,  Danilo Giampiccolo5,  Luisa Bentivogli6,  Peter Clark7,  Ido Dagan8,  Hoa Trang Dang9
1University of Edinburgh, 2University of North Texas, 3Nuance Communications, 4CTB McGraw-Hill, 5CELCT, 6Fondazione Bruno Kessler, 7Vulcan Inc, 8Bar-Ilan University, 9National Institute of Standards and Technology
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09:20--09:35    Session SE5 - ETS: Domain Adaptation and Stacking for Short Answer Scoring
Michael Heilman and Nitin Madnani
Educational Testing Service
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09:35--09:50    Session SE5 - SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis
Sergio Jimenez1,  Claudia Becerra1,  Alexander Gelbukh2
1National University of Colombia, 2Instituto Politécnico Nacional
File

09:50--10:00    Session SE5 - UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis
Torsten Zesch1,  Omer Levy2,  Iryna Gurevych3,  Ido Dagan2
1UKP Lab, Technische Universität Darmstadt, 2Bar-Ilan University, 3Ubiquitous Knowledge Processing (UKP) Lab
File

10:00--10:20    Session SE5 - SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses
David Jurgens1 and Ioannis Klapaftis2
1Sapienza University of Rome, 2Microsoft Search Technology Center
File

10:20--10:30    Session SE5 - AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation
Osman Baskaya,  Enis Sert,  Volkan Cirik,  Deniz Yuret
Koc University
File

10:30--11:00    Coffee Break



11:00--13:10    Session SE6 - Session 6
Chair: Deniz Yuret



11:00--11:10    Session SE6 - unimelb: Topic Modelling-based Word Sense Induction
Jey Han Lau,  Paul Cook,  Timothy Baldwin
The University of Melbourne
File

11:10--11:30    Session SE6 - SemEval-2013 Task 2: Sentiment Analysis in Twitter
Preslav Nakov1,  Sara Rosenthal2,  Zornitsa Kozareva3,  Veselin Stoyanov4,  Alan Ritter5,  Theresa Wilson4
1Qatar Computing Research Institute, Qatar Foundation, 2Columbia University, 3USC Information Sciences Institute, 4JHU HLTCOE, 5University of Washington
File

11:30--11:50    Session SE6 - NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
Saif Mohammad,  Svetlana Kiritchenko,  Xiaodan Zhu
National Research Council Canada
File

11:50--12:00    Session SE6 - GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent
Tobias Günther1 and Lenz Furrer2
1University of Gothenburg, 2University of Zurich
File

12:00--12:10    Session SE6 - AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion
Lee Becker,  George Erhart,  David Skiba,  Valentine Matula
Avaya Labs
File

12:10--12:30    Session SE6 - SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)
Isabel Segura-Bedmar,  Paloma Martínez,  María Herrero Zazo
Carlos III University of Madrid
File

12:30--12:50    Session SE6 - FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information
Md. Faisal Mahbub Chowdhury1 and Alberto Lavelli2
1University of Trento, Italy and FBK-irst, Italy, 2FBK-irst, Italy
File

12:50--13:10    Session SE6 - WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs
Tim Rocktäschel,  Torsten Huber,  Michael Weidlich,  Ulf Leser
Humboldt-Universität zu Berlin, Knowledge Management in Bioinformatics, Unter den Linden 6, Berlin, 10099
File

13:10--15:30    Session SP3 - Lunch Break + Poster Session 3 for Tasks 2, 3, 7, 9, 13



   Session SP3 - SemEval-2013 Task 2: Sentiment Analysis in Twitter
Preslav Nakov1,  Sara Rosenthal2,  Zornitsa Kozareva3,  Veselin Stoyanov4,  Alan Ritter5,  Theresa Wilson4
1Qatar Computing Research Institute, Qatar Foundation, 2Columbia University, 3USC Information Sciences Institute, 4JHU HLTCOE, 5University of Washington
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   Session SP3 - AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis
Mohamed Dermouche1,  Leila Khouas2,  Julien Velcin3,  Sabine Loudcher3
1AMI Software R&D / Université de Lyon, ERIC (Lyon 2), 2AMI Software R&D, 3Université de Lyon, ERIC (Lyon 2)
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   Session SP3 - UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis
Giuseppe Castellucci1,  Simone Filice2,  Danilo Croce2,  Roberto Basili2
1University of Rome, Tor Vergata, 2University of Roma, Tor Vergata
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   Session SP3 - GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent
Tobias Günther1 and Lenz Furrer2
1University of Gothenburg, 2University of Zurich
File

   Session SP3 - AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion
Lee Becker,  George Erhart,  David Skiba,  Valentine Matula
Avaya Labs
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   Session SP3 - TJP: Using Twitter to Analyze the Polarity of Contexts
Tawunrat Chalothorn and Jeremy Ellman
University of Northumbria at Newcastle
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   Session SP3 - uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter
Hamid Poursepanj,  Josh Weissbock,  Diana Inkpen
University of Ottawa
File

   Session SP3 - UT-DB: An Experimental Study on Sentiment Analysis in Twitter
Zhemin Zhu,  Djoerd Hiemstra,  Peter Apers,  Andreas Wombacher
CTIT Database Group, EEMCS, University of Twente
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   Session SP3 - USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis
Ganesh Harihara,  Eugene Yang,  Nate Chambers
US Naval Academy
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   Session SP3 - KLUE: Simple and robust methods for polarity classification
Thomas Proisl,  Paul Greiner,  Stefan Evert,  Besim Kabashi
FAU Erlangen-Nürnberg
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   Session SP3 - SINAI: Machine Learning and Emotion of the Crowd for Sentiment Analysis in Microblogs
Eugenio Martínez-Cámara,  Arturo Montejo-Ráez,  M. Teresa Martín-Valdivia,  L. Alfonso Ureña-López
University of Jaén
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   Session SP3 - ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2)
Zhu Tiantian1,  Zhang Fangxi1,  Man Lan2
1ECNU, 2East China Normal University
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   Session SP3 - Umigon: sentiment analysis for tweets based on terms lists and heuristics
Clement Levallois
Erasmus University Rotterdam
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   Session SP3 - [LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter
Morgane Marchand1,  Alexandru Ginsca2,  Romaric Besançon2,  Olivier Mesnard2
1CEA-LIST / CNRS-LIMSI, 2CEA-LIST
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   Session SP3 - SwatCS: Combining simple classifiers with estimated accuracy
Sam Clark and Rich Wicentwoski
Swarthmore College
File

   Session SP3 - NTNU: Domain Semi-Independent Short Message Sentiment Classification
Øyvind Selmer,  Mikael Brevik,  Björn Gambäck,  Lars Bungum
Norwegian University of Science and Technology
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   Session SP3 - SAIL: A hybrid approach to sentiment analysis
Nikolaos Malandrakis1,  Abe Kazemzadeh2,  Alexandros Potamianos3,  Shrikanth Narayanan4
1Signal Analysis and Interpretation Laboratory (SAIL), USC, Los Angeles, CA 90089, USA, 2Annenberg Innovation Laboratory (AIL), USC, Los Angeles, CA 90089, USA, 3Technical University of Crete, 4
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   Session SP3 - UMCC_DLSI-(SA): Using a ranking algorithm and informal features to solve Sentiment Analysis in Twitter
Yoan Gutiérrez1,  Andy González1,  Roger Pérez1,  José I. Abreu1,  Antonio Fernández Orquín2,  Alejandro Mosquera2,  Andrés Montoyo2,  Rafael Muñoz2,  Franc Camara3
1University of Matanzas, 2University of Alicante, 3Independent Consultant
File

   Session SP3 - ASVUniOfLeipzig: Sentiment Analysis in Twitter using Data-driven Machine Learning Techniques
Robert Remus
University of Leipzig
File

   Session SP3 - Experiments with DBpedia, WordNet and SentiWordNet as resources for sentiment analysis in micro-blogging
Hussam Hamdan,  Frederic Béchet,  Patrice Bellot
AMU
File

   Session SP3 - OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts
Alexandra Balahur
European Commission Joint Research Centre
File

   Session SP3 - FBK: Sentiment Analysis in Twitter with Tweetsted
Md. Faisal Mahbub Chowdhury1,  Marco Guerini2,  Sara Tonelli3,  Alberto Lavelli3
1FBK and University of Trento, Italy, 2TrentoRISE, Italy, 3FBK-irst
File

   Session SP3 - SU-Sentilab : A Classification System for Sentiment Analysis in Twitter
Gizem Gezici,  Rahim Dehkharghani,  Berrin Yanikoglu,  Dilek Tapucu,  Yucel Saygin
Sabanci University
File

   Session SP3 - Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media
Sara Rosenthal and Kathy McKeown
Columbia University
File

   Session SP3 - FBM: Combining lexicon-based ML and heuristics for Social Media Polarities
Carlos Rodriguez-Penagos,  Jordi Atserias Batalla,  Joan Codina-Filbà,  David García-Narbona,  Jens Grivolla,  Patrik Lambert,  Roser Saurí
Barcelona Media Innovació
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   Session SP3 - REACTION: A naive machine learning approach for sentiment classification
Silvio Moreira1,  João Filgueiras2,  Bruno Martins1,  Francisco Couto3,  Mário J. Silva1
1IST/INESC-ID, 2INESC-ID, 3LASIGE - FCUL
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   Session SP3 - IITB-Sentiment-Analysts: Participation in Sentiment Analysis in Twitter SemEval 2013 Task
Karan Chawla1,  Ankit Ramteke2,  Pushpak Bhattacharyya3
1Indian Institute of Technology Bombay, 2Dept. of CSE, IITB, 3CSE Department, IIT Bombay
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   Session SP3 - SSA-UO: Unsupervised Sentiment Analysis in Twitter
Reynier Ortega Bueno1,  Adrian Fonseca Bruzón1,  Yoan Gutiérrez2,  Andres Montoyo3
1CERPAMID, Cuba, 2University of Matanzas, 3University of Alicante
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   Session SP3 - senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task
José Saias1 and Hilário Fernandes2
1Departamento de Informatica - Universidade de Evora, 2Cortex Intelligence
File

   Session SP3 - teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis
Hilke Reckman,  Cheyanne Baird,  Jean Crawford,  Richard Crowell,  Linnea Micciulla,  Saratendu Sethi,  Fruzsina Veress
SAS Institute
File

   Session SP3 - CodeX: Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text
Qi Han1,  Junfei Guo2,  Hinrich Schuetze2
1Institute for Nature Language Processing, University of Stuttgart, 2IMS Univeristy of Stuttgart
File

   Session SP3 - sielers : Feature Analysis and Polarity Classification of Expressions from Twitter and SMS Data
Harshit Jain,  Aditya Mogadala,  Vasudeva Varma
International Institute of Information Technology, Hyderabad
File

   Session SP3 - Kea: Expression-level Sentiment Analysis from Twitter Data
Ameeta Agrawal and Aijun An
York University
File

   Session SP3 - NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
Saif Mohammad,  Svetlana Kiritchenko,  Xiaodan Zhu
National Research Council Canada
File

   Session SP3 - UoM: Using Explicit Semantic Analysis for Classifying Sentiments
Sapna Negi and Michael Rosner
University of Malta
File

   Session SP3 - bwbaugh : Hierarchical sentiment analysis with partial self-training
Wesley Baugh
University of North Texas
File

   Session SP3 - Serendio: Simple and Practical lexicon based approach to Sentiment Analysis
Prabu palanisamy,  Vineet Yadav,  Harsha Elchuri
Serendio
File

   Session SP3 - SZTE-NLP: Sentiment Detection on Twitter Messages
Viktor Hangya,  Gabor Berend,  Richárd Farkas
University of Szeged
File

   Session SP3 - BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets
Nadin Kökciyan,  Arda Çelebi,  Arzucan Özgür,  Suzan Üsküdarlı
Bogazici University
File

   Session SP3 - nlp.cs.aueb.gr: Two Stage Sentiment Analysis
Prodromos Malakasiotis1,  Rafael Michael Karampatsis2,  Konstantina Makrynioti3,  John Pavlopoulos2
1Athens University of Economics and Business, Department of Informatics, 2Athens University of Economics and Business, 3
File

   Session SP3 - NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages
Pedro Balage Filho and Thiago Pardo
University of São Paulo
File

   Session SP3 - SemEval-2013 Task 3: Spatial Role Labeling
Oleksandr Kolomiyets1,  Parisa Kordjamshidi1,  Marie-Francine Moens1,  Steven Bethard2
1KU Leuven, 2University of Colorado Boulder
File

   Session SP3 - UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling
Emanuele Bastianelli1,  Danilo Croce1,  Roberto Basili1,  Daniele Nardi2
1University of Roma, Tor Vergata, 2University of Roma, La Sapienza
File

   Session SP3 - SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge
Myroslava Dzikovska1,  Rodney Nielsen2,  Chris Brew3,  Claudia Leacock4,  Danilo Giampiccolo5,  Luisa Bentivogli6,  Peter Clark7,  Ido Dagan8,  Hoa Trang Dang9
1University of Edinburgh, 2University of North Texas, 3Nuance Communications, 4CTB McGraw-Hill, 5CELCT, 6Fondazione Bruno Kessler, 7Vulcan Inc, 8Bar-Ilan University, 9National Institute of Standards and Technology
File

   Session SP3 - UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis
Torsten Zesch1,  Omer Levy2,  Iryna Gurevych3,  Ido Dagan2
1UKP Lab, Technische Universität Darmstadt, 2Bar-Ilan University, 3Ubiquitous Knowledge Processing (UKP) Lab
File

   Session SP3 - ETS: Domain Adaptation and Stacking for Short Answer Scoring
Michael Heilman and Nitin Madnani
Educational Testing Service
File

   Session SP3 - EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis
Itziar Aldabe1,  Montse Maritxalar1,  Oier Lopez de Lacalle2
1University of the Basque Country (UPV/EHU), 2IKERBASQUE, Basque Foundation for Science - University of Edinburgh
File

   Session SP3 - CNGL: Grading Student Answers by Acts of Translation
Ergun Bicici and Josef van Genabith
Centre for Next Generation Localisation, Dublin City University
File

   Session SP3 - Celi: EDITS and Generic Text Pair Classification
Milen Kouylekov,  Luca Dini,  Alessio Bosca,  Marco Trevisan
CELI S.R.L.
File

   Session SP3 - LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013
Martin Gleize and Brigitte Grau
LIMSI-CNRS
File

   Session SP3 - SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis
Sergio Jimenez1,  Claudia Becerra1,  Alexander Gelbukh2
1National University of Colombia, 2Instituto Politécnico Nacional
File

   Session SP3 - CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students' Understanding
IFEYINWA OKOYE,  Steven Bethard,  Tamara Sumner
University of Colorado at Boulder
File

   Session SP3 - CoMeT: Integrating different levels of linguistic modeling for meaning assessment
Niels Ott,  Ramon Ziai,  Michael Hahn,  Detmar Meurers
Eberhard Karls Universität Tübingen
File

   Session SP3 - SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)
Isabel Segura-Bedmar,  Paloma Martínez,  María Herrero Zazo
Carlos III University of Madrid
File

   Session SP3 - UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts.
Daniel Sanchez-Cisneros
Universidad Carlos III de Madrid
File

   Session SP3 - UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts.
Daniel Sanchez-Cisneros1 and Fernando Aparicio Gali2
1Universidad Carlos III de Madrid, 2Universidad Europea de Madrid
File

   Session SP3 - FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information
Md. Faisal Mahbub Chowdhury1 and Alberto Lavelli2
1University of Trento, Italy and FBK-irst, Italy, 2FBK-irst, Italy
File

   Session SP3 - WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting
Philippe Thomas,  Mariana Neves,  Tim Rocktäschel,  Ulf Leser
Humboldt-Universit ̈ at zu Berlin, Knowledge Management in Bioinformatics, Unter den Linden 6, 10099 Berlin
File

   Session SP3 - WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs
Tim Rocktäschel,  Torsten Huber,  Michael Weidlich,  Ulf Leser
Humboldt-Universität zu Berlin, Knowledge Management in Bioinformatics, Unter den Linden 6, Berlin, 10099
File

   Session SP3 - UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts
Armando Collazo1,  Alberto Ceballo1,  Dennys D. Puig1,  Yoan Gutiérrez1,  José I. Abreu1,  Roger Pérez1,  Antonio Fernández Orquín2,  Andrés Montoyo2,  Rafael Muñoz2,  Franc Camara3
1University of Matanzas, 2University of Alicante, 3Independent Consultant
File

   Session SP3 - NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels
Behrouz Bokharaeian and ALBERTO DIAZ
Universidad Complutense de Madrid
File

   Session SP3 - UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge
Jari Björne,  Suwisa Kaewphan,  Tapio Salakoski
University of Turku
File

   Session SP3 - LASIGE: using Conditional Random Fields and ChEBI ontology
Tiago Grego,  Francisco Pinto,  Francisco M Couto
University of Lisbon
File

   Session SP3 - UWM-TRIADS: Classifying Drug-Drug Interactions with Two-Stage SVM and Post-Processing
Majid Rastegar-Mojarad1,  Richard D. Boyce2,  Rashmi Prasad1
1University of Wisconsin-Milwaukee, 2University of Pittsburgh
File

   Session SP3 - SCAI: Extracting drug-drug interactions using a rich feature vector
Tamara Bobic,  Juliane Fluck,  Martin Hofmann-Apitius
Fraunhofer SCAI
File

   Session SP3 - UColorado_SOM: Extraction of Drug-Drug Interactions from Biomedical Text using Knowledge-rich and Knowledge-poor Features
Negacy Hailu,  Lawrence E. Hunter,  K. Bretonnel Cohen
Computational Bioscience Program, University of Colorado School of Medicine
File

   Session SP3 - SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses
David Jurgens1 and Ioannis Klapaftis2
1Sapienza University of Rome, 2Microsoft Search Technology Center
File

   Session SP3 - UoS: A Graph-Based System for Graded Word Sense Induction
David Hope and Bill Keller
University of Sussex
File

   Session SP3 - AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation
Osman Baskaya,  Enis Sert,  Volkan Cirik,  Deniz Yuret
Koc University
File

   Session SP3 - unimelb: Topic Modelling-based Word Sense Induction
Jey Han Lau,  Paul Cook,  Timothy Baldwin
The University of Melbourne
File

Logical Order of SemEval Papers
   Session SP3 - SemEval-2013 Task 1: TempEval-3: Evaluating Time Expressions, Events, and Temporal Relations
Naushad UzZaman1,  Hector Llorens2,  Leon Derczynski3,  James Allen4,  Marc Verhagen5,  James Pustejovsky5
1Department of Computer Science, University of Rochester, USA, 2Universidad de Alicante, 3University of Sheffield, 4University of Rochester, 5Brandeis University
File

   Session SP3 - ClearTK-TimeML: A minimalist approach to TempEval 2013
Steven Bethard
University of Colorado Boulder
File

   Session SP3 - ManTIME: Temporal expression identification and normalization in the TempEval-3 challenge
Michele Filannino,  Gavin Brown,  Goran Nenadic
University of Manchester
File

   Session SP3 - HeidelTime: Tuning English and Developing Spanish Resources for TempEval-3
Jannik Strötgen,  Julian Zell,  Michael Gertz
Heidelberg University
File

   Session SP3 - FSS-TimEx for TempEval-3: Extracting Temporal Information from Text
Vanni Zavarella and Hristo Tanev
Joint Research Center - European Commission
File

   Session SP3 - ATT1: Temporal Annotation Using Big Windows and Rich Syntactic and Semantic Features
Hyuckchul Jung1 and Amanda Stent2
1AT&T Labs Research, 2AT&T Labs - Research
File

   Session SP3 - JU_CSE: A CRF Based Approach to Annotation of Temporal Expression, Event and Temporal Relations
Anup Kumar Kolya1,  Amitava Kundu1,  Rajdeep Gupta1,  Asif Ekbal2,  Sivaji Bandyopadhyay2
1Jadavpur Univeristy, 2IIT Patna
File

   Session SP3 - NavyTime: Event and Time Ordering from Raw Text
Nate Chambers
US Naval Academy
File

   Session SP3 - SUTime: Evaluation in TempEval-3
Angel Chang and Christopher D. Manning
Stanford University
File

   Session SP3 - KUL: Data-driven Approach to Temporal Parsing of Newswire Articles
Oleksandr Kolomiyets and Marie-Francine Moens
KU Leuven
File

   Session SP3 - UTTime: Temporal Relation Classification using Deep Syntactic Features
Natsuda Laokulrat1,  Makoto Miwa2,  Yoshimasa Tsuruoka1,  Takashi Chikayama1
1The University of Tokyo, 2The University of Manchester
File

   Session SP3 - SemEval-2013 Task 2: Sentiment Analysis in Twitter
Preslav Nakov1,  Sara Rosenthal2,  Zornitsa Kozareva3,  Veselin Stoyanov4,  Alan Ritter5,  Theresa Wilson4
1Qatar Computing Research Institute, Qatar Foundation, 2Columbia University, 3USC Information Sciences Institute, 4JHU HLTCOE, 5University of Washington
File

   Session SP3 - AMI&ERIC: How to Learn with Naive Bayes and Prior Knowledge: an Application to Sentiment Analysis
Mohamed Dermouche1,  Leila Khouas2,  Julien Velcin3,  Sabine Loudcher3
1AMI Software R&D / Université de Lyon, ERIC (Lyon 2), 2AMI Software R&D, 3Université de Lyon, ERIC (Lyon 2)
File

   Session SP3 - UNITOR: Combining Syntactic and Semantic Kernels for Twitter Sentiment Analysis
Giuseppe Castellucci1,  Simone Filice2,  Danilo Croce2,  Roberto Basili2
1University of Rome, Tor Vergata, 2University of Roma, Tor Vergata
File

   Session SP3 - GU-MLT-LT: Sentiment Analysis of Short Messages using Linguistic Features and Stochastic Gradient Descent
Tobias Günther1 and Lenz Furrer2
1University of Gothenburg, 2University of Zurich
File

   Session SP3 - AVAYA: Sentiment Analysis on Twitter with Self-Training and Polarity Lexicon Expansion
Lee Becker,  George Erhart,  David Skiba,  Valentine Matula
Avaya Labs
File

   Session SP3 - TJP: Using Twitter to Analyze the Polarity of Contexts
Tawunrat Chalothorn and Jeremy Ellman
University of Northumbria at Newcastle
File

   Session SP3 - uOttawa: System description for SemEval 2013 Task 2 Sentiment Analysis in Twitter
Hamid Poursepanj,  Josh Weissbock,  Diana Inkpen
University of Ottawa
File

   Session SP3 - UT-DB: An Experimental Study on Sentiment Analysis in Twitter
Zhemin Zhu,  Djoerd Hiemstra,  Peter Apers,  Andreas Wombacher
CTIT Database Group, EEMCS, University of Twente
File

   Session SP3 - USNA: A Dual-Classifier Approach to Contextual Sentiment Analysis
Ganesh Harihara,  Eugene Yang,  Nate Chambers
US Naval Academy
File

   Session SP3 - KLUE: Simple and robust methods for polarity classification
Thomas Proisl,  Paul Greiner,  Stefan Evert,  Besim Kabashi
FAU Erlangen-Nürnberg
File

   Session SP3 - SINAI: Machine Learning and Emotion of the Crowd for Sentiment Analysis in Microblogs
Eugenio Martínez-Cámara,  Arturo Montejo-Ráez,  M. Teresa Martín-Valdivia,  L. Alfonso Ureña-López
University of Jaén
File

   Session SP3 - ECNUCS: A Surface Information Based System Description of Sentiment Analysis in Twitter in the SemEval-2013 (Task 2)
Zhu Tiantian1,  Zhang Fangxi1,  Man Lan2
1ECNU, 2East China Normal University
File

   Session SP3 - Umigon: sentiment analysis for tweets based on terms lists and heuristics
Clement Levallois
Erasmus University Rotterdam
File

   Session SP3 - [LVIC-LIMSI]: Using Syntactic Features and Multi-polarity Words for Sentiment Analysis in Twitter
Morgane Marchand1,  Alexandru Ginsca2,  Romaric Besançon2,  Olivier Mesnard2
1CEA-LIST / CNRS-LIMSI, 2CEA-LIST
File

   Session SP3 - SwatCS: Combining simple classifiers with estimated accuracy
Sam Clark and Rich Wicentwoski
Swarthmore College
File

   Session SP3 - NTNU: Domain Semi-Independent Short Message Sentiment Classification
Øyvind Selmer,  Mikael Brevik,  Björn Gambäck,  Lars Bungum
Norwegian University of Science and Technology
File

   Session SP3 - SAIL: A hybrid approach to sentiment analysis
Nikolaos Malandrakis1,  Abe Kazemzadeh2,  Alexandros Potamianos3,  Shrikanth Narayanan4
1Signal Analysis and Interpretation Laboratory (SAIL), USC, Los Angeles, CA 90089, USA, 2Annenberg Innovation Laboratory (AIL), USC, Los Angeles, CA 90089, USA, 3Technical University of Crete, 4
File

   Session SP3 - UMCC_DLSI-(SA): Using a ranking algorithm and informal features to solve Sentiment Analysis in Twitter
Yoan Gutiérrez1,  Andy González1,  Roger Pérez1,  José I. Abreu1,  Antonio Fernández Orquín2,  Alejandro Mosquera2,  Andrés Montoyo2,  Rafael Muñoz2,  Franc Camara3
1University of Matanzas, 2University of Alicante, 3Independent Consultant
File

   Session SP3 - ASVUniOfLeipzig: Sentiment Analysis in Twitter using Data-driven Machine Learning Techniques
Robert Remus
University of Leipzig
File

   Session SP3 - Experiments with DBpedia, WordNet and SentiWordNet as resources for sentiment analysis in micro-blogging
Hussam Hamdan,  Frederic Béchet,  Patrice Bellot
AMU
File

   Session SP3 - OPTWIMA: Comparing Knowledge-rich and Knowledge-poor Approaches for Sentiment Analysis in Short Informal Texts
Alexandra Balahur
European Commission Joint Research Centre
File

   Session SP3 - FBK: Sentiment Analysis in Twitter with Tweetsted
Md. Faisal Mahbub Chowdhury1,  Marco Guerini2,  Sara Tonelli3,  Alberto Lavelli3
1FBK and University of Trento, Italy, 2TrentoRISE, Italy, 3FBK-irst
File

   Session SP3 - SU-Sentilab : A Classification System for Sentiment Analysis in Twitter
Gizem Gezici,  Rahim Dehkharghani,  Berrin Yanikoglu,  Dilek Tapucu,  Yucel Saygin
Sabanci University
File

   Session SP3 - Columbia NLP: Sentiment Detection of Subjective Phrases in Social Media
Sara Rosenthal and Kathy McKeown
Columbia University
File

   Session SP3 - FBM: Combining lexicon-based ML and heuristics for Social Media Polarities
Carlos Rodriguez-Penagos,  Jordi Atserias Batalla,  Joan Codina-Filbà,  David García-Narbona,  Jens Grivolla,  Patrik Lambert,  Roser Saurí
Barcelona Media Innovació
File

   Session SP3 - REACTION: A naive machine learning approach for sentiment classification
Silvio Moreira1,  João Filgueiras2,  Bruno Martins1,  Francisco Couto3,  Mário J. Silva1
1IST/INESC-ID, 2INESC-ID, 3LASIGE - FCUL
File

   Session SP3 - IITB-Sentiment-Analysts: Participation in Sentiment Analysis in Twitter SemEval 2013 Task
Karan Chawla1,  Ankit Ramteke2,  Pushpak Bhattacharyya3
1Indian Institute of Technology Bombay, 2Dept. of CSE, IITB, 3CSE Department, IIT Bombay
File

   Session SP3 - SSA-UO: Unsupervised Sentiment Analysis in Twitter
Reynier Ortega Bueno1,  Adrian Fonseca Bruzón1,  Yoan Gutiérrez2,  Andres Montoyo3
1CERPAMID, Cuba, 2University of Matanzas, 3University of Alicante
File

   Session SP3 - senti.ue-en: an approach for informally written short texts in SemEval-2013 Sentiment Analysis task
José Saias1 and Hilário Fernandes2
1Departamento de Informatica - Universidade de Evora, 2Cortex Intelligence
File

   Session SP3 - teragram: Rule-based detection of sentiment phrases using SAS Sentiment Analysis
Hilke Reckman,  Cheyanne Baird,  Jean Crawford,  Richard Crowell,  Linnea Micciulla,  Saratendu Sethi,  Fruzsina Veress
SAS Institute
File

   Session SP3 - CodeX: Combining an SVM Classifier and Character N-gram Language Models for Sentiment Analysis on Twitter Text
Qi Han1,  Junfei Guo2,  Hinrich Schuetze2
1Institute for Nature Language Processing, University of Stuttgart, 2IMS Univeristy of Stuttgart
File

   Session SP3 - sielers : Feature Analysis and Polarity Classification of Expressions from Twitter and SMS Data
Harshit Jain,  Aditya Mogadala,  Vasudeva Varma
International Institute of Information Technology, Hyderabad
File

   Session SP3 - Kea: Expression-level Sentiment Analysis from Twitter Data
Ameeta Agrawal and Aijun An
York University
File

   Session SP3 - NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets
Saif Mohammad,  Svetlana Kiritchenko,  Xiaodan Zhu
National Research Council Canada
File

   Session SP3 - UoM: Using Explicit Semantic Analysis for Classifying Sentiments
Sapna Negi and Michael Rosner
University of Malta
File

   Session SP3 - bwbaugh : Hierarchical sentiment analysis with partial self-training
Wesley Baugh
University of North Texas
File

   Session SP3 - Serendio: Simple and Practical lexicon based approach to Sentiment Analysis
Prabu palanisamy,  Vineet Yadav,  Harsha Elchuri
Serendio
File

   Session SP3 - SZTE-NLP: Sentiment Detection on Twitter Messages
Viktor Hangya,  Gabor Berend,  Richárd Farkas
University of Szeged
File

   Session SP3 - BOUNCE: Sentiment Classification in Twitter using Rich Feature Sets
Nadin Kökciyan,  Arda Çelebi,  Arzucan Özgür,  Suzan Üsküdarlı
Bogazici University
File

   Session SP3 - nlp.cs.aueb.gr: Two Stage Sentiment Analysis
Prodromos Malakasiotis1,  Rafael Michael Karampatsis2,  Konstantina Makrynioti3,  John Pavlopoulos2
1Athens University of Economics and Business, Department of Informatics, 2Athens University of Economics and Business, 3
File

   Session SP3 - NILC_USP: A Hybrid System for Sentiment Analysis in Twitter Messages
Pedro Balage Filho and Thiago Pardo
University of São Paulo
File

   Session SP3 - SemEval-2013 Task 3: Spatial Role Labeling
Oleksandr Kolomiyets1,  Parisa Kordjamshidi1,  Marie-Francine Moens1,  Steven Bethard2
1KU Leuven, 2University of Colorado Boulder
File

   Session SP3 - UNITOR-HMM-TK: Structured Kernel-based learning for Spatial Role Labeling
Emanuele Bastianelli1,  Danilo Croce1,  Roberto Basili1,  Daniele Nardi2
1University of Roma, Tor Vergata, 2University of Roma, La Sapienza
File

   Session SP3 - SemEval-2013 Task 4: Free Paraphrases of Noun Compounds
Iris Hendrickx1,  Zornitsa Kozareva2,  Preslav Nakov3,  Diarmuid Ó Séaghdha4,  Stan Szpakowicz5,  Tony Veale6
1Universidade de Lisboa, 2University of Southern California, 3Qatar Computing Research Institute, Qatar Foundation, 4University of Cambridge, 5University of Ottawa; Polish Academy of Sciences, 6University College Dublin
File

   Session SP3 - SFS-TUE: Compound Paraphrasing with a Language Model and Discriminative Reranking
Yannick Versley
University of Tuebingen
File

   Session SP3 - IIIT-H: A Corpus-Driven Co-occurrence Based Probabilistic Model for Noun Compound Paraphrasing
Nitesh Surtani,  Arpita Batra,  Urmi Ghosh,  Soma Paul
IIIT-H
File

   Session SP3 - MELODI: A Supervised Distributional Approach for Free Paraphrasing of Noun Compounds
Tim Van de Cruys1,  Stergos Afantenos2,  Philippe Muller2
1IRIT & CNRS, 2IRIT, Toulouse University
File

   Session SP3 - SemEval-2013 Task 5: Evaluating Phrasal Semantics
Ioannis Korkontzelos1,  Torsten Zesch2,  Fabio Massimo Zanzotto3,  Chris Biemann4
1National Centre for Text Mining, The University of Manchester, 2UKP Lab, Technische Universität Darmstadt, 3Department of Enterprise Engineering, University of Rome "Tor Vergata", 4TU Darmstadt
File

   Session SP3 - HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures
Christian Wartena
Hochschule Hannover - University of Applied Sciences and Arts
File

   Session SP3 - UMCC_DLSI-(EPS): Paraphrases Detection Based on Semantic Distance
Héctor Dávila1,  Antonio Fernández Orquín1,  Alexander Chávez1,  Yoan Gutiérrez1,  Armando Collazo1,  José I. Abreu1,  Andrés Montoyo2,  Rafael Muñoz2
1University of Matanzas, 2University of Alicante
File

   Session SP3 - MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting
Tim Van de Cruys1,  Stergos Afantenos2,  Philippe Muller2
1IRIT & CNRS, 2IRIT, Toulouse University
File

   Session SP3 - IIRG: A Naive Approach to Evaluating Phrasal Semantics
Lorna Byrne,  Caroline Fenlon,  John Dunnion
University College Dublin
File

   Session SP3 - ClaC: Semantic Relatedness of Words and Phrases
Reda Siblini and Leila Kosseim
Concordia University
File

   Session SP3 - UNAL: Discriminating between Literal and Figurative Phrasal Usage Using Distributional Statistics and POS tags
Sergio Jimenez1,  Claudia Becerra1,  Alexander Gelbukh2
1National University of Colombia, 2Instituto Politécnico Nacional
File

   Session SP3 - SemEval-2013 Task 7: The Joint Student Response Analysis and 8th Recognizing Textual Entailment Challenge
Myroslava Dzikovska1,  Rodney Nielsen2,  Chris Brew3,  Claudia Leacock4,  Danilo Giampiccolo5,  Luisa Bentivogli6,  Peter Clark7,  Ido Dagan8,  Hoa Trang Dang9
1University of Edinburgh, 2University of North Texas, 3Nuance Communications, 4CTB McGraw-Hill, 5CELCT, 6Fondazione Bruno Kessler, 7Vulcan Inc, 8Bar-Ilan University, 9National Institute of Standards and Technology
File

   Session SP3 - UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis
Torsten Zesch1,  Omer Levy2,  Iryna Gurevych3,  Ido Dagan2
1UKP Lab, Technische Universität Darmstadt, 2Bar-Ilan University, 3Ubiquitous Knowledge Processing (UKP) Lab
File

   Session SP3 - ETS: Domain Adaptation and Stacking for Short Answer Scoring
Michael Heilman and Nitin Madnani
Educational Testing Service
File

   Session SP3 - EHU-ALM: Similarity-Feature Based Approach for Student Response Analysis
Itziar Aldabe1,  Montse Maritxalar1,  Oier Lopez de Lacalle2
1University of the Basque Country (UPV/EHU), 2IKERBASQUE, Basque Foundation for Science - University of Edinburgh
File

   Session SP3 - CNGL: Grading Student Answers by Acts of Translation
Ergun Bicici and Josef van Genabith
Centre for Next Generation Localisation, Dublin City University
File

   Session SP3 - Celi: EDITS and Generic Text Pair Classification
Milen Kouylekov,  Luca Dini,  Alessio Bosca,  Marco Trevisan
CELI S.R.L.
File

   Session SP3 - LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013
Martin Gleize and Brigitte Grau
LIMSI-CNRS
File

   Session SP3 - SOFTCARDINALITY: Hierarchical Text Overlap for Student Response Analysis
Sergio Jimenez1,  Claudia Becerra1,  Alexander Gelbukh2
1National University of Colombia, 2Instituto Politécnico Nacional
File

   Session SP3 - CU : Computational Assessment of Short Free Text Answers - A Tool for Evaluating Students' Understanding
IFEYINWA OKOYE,  Steven Bethard,  Tamara Sumner
University of Colorado at Boulder
File

   Session SP3 - CoMeT: Integrating different levels of linguistic modeling for meaning assessment
Niels Ott,  Ramon Ziai,  Michael Hahn,  Detmar Meurers
Eberhard Karls Universität Tübingen
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   Session SP3 - Semeval-2013 Task 8: Cross-lingual Textual Entailment for Content Synchronization
Matteo Negri1,  Alessandro Marchetti2,  Yashar Mehdad3,  Luisa Bentivogli1,  Danilo Giampiccolo2
1Fondazione Bruno Kessler, 2CELCT, 3University of British Columbia
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   Session SP3 - ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures
Jiang Zhao1,  Man Lan2,  Zheng-Yu Niu3
1ECNU, 2East China Normal University, 3Baidu Inc
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   Session SP3 - BUAP: N-gram based Feature Evaluation for the Cross-Lingual Textual Entailment Task
Darnes Vilariño,  David Pinto,  Saul León,  Yuridiana Aleman,  Helena Gómez
Benemérita Universidad Autónoma de Puebla
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   Session SP3 - ALTN: Word Alignment Features for Cross-lingual Textual Entailment
Marco Turchi and Matteo Negri
Fondazione Bruno Kessler
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   Session SP3 - SOFTCARDINALITY: Learning to Identify Directional Cross-Lingual Entailment from Cardinalities and SMT
Sergio Jimenez1,  Claudia Becerra1,  Alexander Gelbukh2
1National University of Colombia, 2Instituto Politécnico Nacional
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   Session SP3 - Umelb: Cross-lingual Textual Entailment with Word Alignment and String Similarity Features
Yvette Graham1,  Bahar Salehi2,  Timothy Baldwin3
1The University of Melbourne, Centre for Next Generation Localisation, 2University of Melbourne, 3The University of Melbourne
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   Session SP3 - SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)
Isabel Segura-Bedmar,  Paloma Martínez,  María Herrero Zazo
Carlos III University of Madrid
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   Session SP3 - UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts.
Daniel Sanchez-Cisneros
Universidad Carlos III de Madrid
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   Session SP3 - UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts.
Daniel Sanchez-Cisneros1 and Fernando Aparicio Gali2
1Universidad Carlos III de Madrid, 2Universidad Europea de Madrid
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   Session SP3 - FBK-irst : A Multi-Phase Kernel Based Approach for Drug-Drug Interaction Detection and Classification that Exploits Linguistic Information
Md. Faisal Mahbub Chowdhury1 and Alberto Lavelli2
1University of Trento, Italy and FBK-irst, Italy, 2FBK-irst, Italy
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   Session SP3 - WBI-DDI: Drug-Drug Interaction Extraction using Majority Voting
Philippe Thomas,  Mariana Neves,  Tim Rocktäschel,  Ulf Leser
Humboldt-Universit ̈ at zu Berlin, Knowledge Management in Bioinformatics, Unter den Linden 6, 10099 Berlin
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   Session SP3 - WBI-NER: The impact of domain-specific features on the performance of identifying and classifying mentions of drugs
Tim Rocktäschel,  Torsten Huber,  Michael Weidlich,  Ulf Leser
Humboldt-Universität zu Berlin, Knowledge Management in Bioinformatics, Unter den Linden 6, Berlin, 10099
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   Session SP3 - UMCC_DLSI: Semantic and Lexical features for detection and classification Drugs in biomedical texts
Armando Collazo1,  Alberto Ceballo1,  Dennys D. Puig1,  Yoan Gutiérrez1,  José I. Abreu1,  Roger Pérez1,  Antonio Fernández Orquín2,  Andrés Montoyo2,  Rafael Muñoz2,  Franc Camara3
1University of Matanzas, 2University of Alicante, 3Independent Consultant
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   Session SP3 - NIL_UCM: Extracting Drug-Drug interactions from text through combination of sequence and tree kernels
Behrouz Bokharaeian and ALBERTO DIAZ
Universidad Complutense de Madrid
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   Session SP3 - UTurku: Drug Named Entity Recognition and Drug-Drug Interaction Extraction Using SVM Classification and Domain Knowledge
Jari Björne,  Suwisa Kaewphan,  Tapio Salakoski
University of Turku
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   Session SP3 - LASIGE: using Conditional Random Fields and ChEBI ontology
Tiago Grego,  Francisco Pinto,  Francisco M Couto
University of Lisbon
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   Session SP3 - UWM-TRIADS: Classifying Drug-Drug Interactions with Two-Stage SVM and Post-Processing
Majid Rastegar-Mojarad1,  Richard D. Boyce2,  Rashmi Prasad1
1University of Wisconsin-Milwaukee, 2University of Pittsburgh
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   Session SP3 - SCAI: Extracting drug-drug interactions using a rich feature vector
Tamara Bobic,  Juliane Fluck,  Martin Hofmann-Apitius
Fraunhofer SCAI
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   Session SP3 - UColorado_SOM: Extraction of Drug-Drug Interactions from Biomedical Text using Knowledge-rich and Knowledge-poor Features
Negacy Hailu,  Lawrence E. Hunter,  K. Bretonnel Cohen
Computational Bioscience Program, University of Colorado School of Medicine
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   Session SP3 - SemEval-2013 Task 10: Cross-lingual Word Sense Disambiguation
Els Lefever and Véronique Hoste
LT3, Hogeschool Gent
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   Session SP3 - XLING: Matching Query Sentences to a Parallel Corpus using Topic Models for WSD
Liling Tan and Francis Bond
Nanyang Technological University
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   Session SP3 - HLTDI: CL-WSD Using Markov Random Fields for SemEval-2013 Task 10
Alex Rudnick,  Can Liu,  Michael Gasser
Indiana University
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   Session SP3 - LIMSI : Cross-lingual Word Sense Disambiguation using Translation Sense Clustering
Marianna Apidianaki
LIMSI-CNRS
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   Session SP3 - WSD2: Parameter optimisation for Memory-based Cross-Lingual Word-Sense Disambiguation
Maarten van Gompel and Antal van den Bosch
Radboud University Nijmegen
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   Session SP3 - NRC: A Machine Translation Approach to Cross-Lingual Word Sense Disambiguation (SemEval-2013 Task 10)
Marine Carpuat
National Research Council
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   Session SP3 - SemEval-2013 Task 11: Word Sense Induction and Disambiguation within an End-User Application
Roberto Navigli and Daniele Vannella
Sapienza University of Rome
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   Session SP3 - Duluth : Word Sense Induction Applied to Web Page Clustering
Ted Pedersen
University of Minnesota, Duluth
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   Session SP3 - SATTY : Word Sense Induction Application in Web Search Clustering
Satyabrata Behera,  Upasana Gaikwad,  Ramakrishna Bairi,  Ganesh Ramakrishnan
IIT Bombay
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   Session SP3 - UKP-WSI: UKP Lab Semeval-2013 Task 11 System Description
Hans-Peter Zorn and Iryna Gurevych
UKP Lab, Technische Universität Darmstadt
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   Session SP3 - unimelb: Topic Modelling-based Word Sense Induction for Web Snippet Clustering
Jey Han Lau,  Paul Cook,  Timothy Baldwin
The University of Melbourne
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   Session SP3 - SemEval-2013 Task 12: Multilingual Word Sense Disambiguation
Roberto Navigli,  David Jurgens,  Daniele Vannella
Sapienza University of Rome
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   Session SP3 - GETALP System : Propagation of a Lesk Measure through an Ant Colony Algorithm
Didier Schwab,  Andon Tchechmedjiev,  Jérôme Goulian,  Mohammad Nasiruddin,  Gilles Sérasset,  Hervé Blanchon
Univ. Grenoble Alpes
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   Session SP3 - UMCC_DLSI: Reinforcing a Ranking Algorithm with Sense Frequencies and Multidimensional Semantic Resources to solve Multilingual Word Sense Disambiguation
Yoan Gutiérrez1,  Yenier Castañeda1,  Andy González1,  Rainel Estrada1,  Dennys D. Piug1,  Jose I. Abreu1,  Roger Pérez1,  Antonio Fernández Orquín2,  Andrés Montoyo2,  Rafael Muñoz2,  Franc Camara3
1University of Matanzas, 2University of Alicante, 3Independent Consultant
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   Session SP3 - DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation
Steve L. Manion and Raazesh Sainudiin
University of Canterbury
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   Session SP3 - SemEval-2013 Task 13: Word Sense Induction for Graded and Non-Graded Senses
David Jurgens1 and Ioannis Klapaftis2
1Sapienza University of Rome, 2Microsoft Search Technology Center
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   Session SP3 - UoS: A Graph-Based System for Graded Word Sense Induction
David Hope and Bill Keller
University of Sussex
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   Session SP3 - AI-KU: Using Substitute Vectors and Co-Occurrence Modeling For Word Sense Induction and Disambiguation
Osman Baskaya,  Enis Sert,  Volkan Cirik,  Deniz Yuret
Koc University
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   Session SP3 - unimelb: Topic Modelling-based Word Sense Induction
Jey Han Lau,  Paul Cook,  Timothy Baldwin
The University of Melbourne
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