LEARNING LANGUAGE IN LOGIC (LLL) WORKSHOP
30th June 1999
White Room, Grand Hotel
Toplice
Bled, Slovenia
Supported by:
ILPNet2
ILP2 project end-user club
MLNET
CompulogNet
Introduction
Natural language learning based on statistical approaches (eg n-gram language
modelling) has proved successful, but it is well known that such linguistically
impoverished approaches have severe limitations. The flexibility and expressivity
of logical representations make them highly suitable for natural language
analysis, so there is consequently a growing interest in applying Inductive
Logic Programming techniques to linguistic learning problems.
From the NLP point of view the promise of ILP is that it will be able to
steer a mid-course between the two alternatives of large scale, but shallow
levels of analysis, and small scale, but deep and precise analyses, and produce
a better ratio between breadth of coverage and depth of analysis.
From the ILP point of view, NLP has recently been recognised as an ideal
application area. The existence within NLP problems of hierarchically defined,
structured data with large amounts of relevant logically defined background
knowledge provides a perfect testbed for stretching ILP technology in a way
that would also be beneficial in other application areas.
The workshop aims to provide a forum for discussion on all aspects of learning
language in logic. Research topics include, but are not restricted to:
- Explanation-based learning
- Extracting predicate-argument structure
- Grammar learning
- Higher-order logic for LLL
- Handling very complex terms in ILP
- Information extraction
- Instance-based approaches in ILP
- Logical approaches to statistical NLP
- Learning subcategorisation frames
- Morphological analysis
- Morphosyntactic tagging
- Multi-predicate learning
- Part-of-speech tagging
- Shallow parsing
- Theory revision
- Using ILP with large data sets
Invited speakers
Eric Brill
Natural Language Processing Lab, Center for Language and Speech
Processing & Department of Computer Science,
Johns Hopkins University, USA
http://www.cs.jhu.edu/~brill/home.html
"Toward Linguistically Sophisticated
Models of Language"
Ted Briscoe
Natural Language Group,
University of Cambridge Computer
Laboratory
http://www.cl.cam.ac.uk/users/ejb/
"Bayesian Learning of (Stochastic)
Grammars"
Ray Mooney
Machine Learning Research Group,
University of Texas at Austin
http://www.cs.utexas.edu/users/mooney/
"Learning for Semantic Interpretation:
Scaling Up Without Dumbing Down"
Programme and on-line workshop
notes
The workshop will take place at the:
White Room, Grand Hotel Toplice,
Bled, Slovenia
All papers are in gzipped PostScript form. All papers will be available
as bound hard-copy for those registered for the workshop. (Front matter for
the workshop notes here.)
Session 1 : 0900-1040
Coffee break : 1040-1100
Session 2 : 1100-1240
Lunch : 1240-1400
Session 3 : 1400-1540
Coffee break : 1540-1600
Session 4 : 1600-1740
Programme committee
Christer Samuelsson (XRCE, Grenoble, France)
Claire Nédellec (Université Paris Sud (LRI), France)
Gosse Bouma (University of Groningen, Netherlands)
Gregor Erbach (DFKI, Saarbrücken, Germany)
Henrik Boström (University of Stockholm, Sweden)
James Cussens (University of York, UK)
Suresh Manandhar (University of York, UK)
Mark Steedman (University of Edinburgh, UK)
Stefan Wrobel (GMD, Germany)
Steve Pulman (University of Cambridge, UK)
Tomaz Erjavec (Jozef Stefan Institute, Slovenia)
Registration details
Registration for LLL is handled in the same way as registration for
the ICML-99 workshops. See the ICML-99 web page
http://www-ai.ijs.si/SasoDzeroski/ICML99/main.html
for details.
The registration fee will be:
$45 if registered for ICML-99
$70 if not registered for ICML-99
Programme and local chair
PROGRAMME CHAIR
James Cussens
Department of Computer Science
University of York
Heslington, York YO10 5DD, UK
Email: jc@cs.york.ac.uk
Phone: +44 (0)1904 434732
Fax: +44 (0)1904 432767
LOCAL CHAIR
Saso Dzeroski
Dept. of Intelligent Systems
Jozef Stefan Institute
Jamova 39
1000 Ljubljana, Slovenia
Email: Saso.Dzeroski@ijs.si
Phone: +386 61 177 3217
Fax: +386 61 125 1038
Acknowledgements
The organisers wish to acknowledge the help of the following in supporting
this workshop: