Corpora: BOUNCE corpora at lists.uib.no: Non-member submission from [Miloslav Nepil <nepil at informatics.muni.cz>] (fwd)
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Date: Wed, 20 Jun 2001 17:06:05 +0200 (MET DST)
From: Miloslav Nepil <nepil at informatics.muni.cz>
Message-Id: <200106201506.RAA23468 at anxur.fi.muni.cz>
Subject: LLL'01: deadline reminder
Cc: lll01 at fi.muni.cz
The deadline for submission to the Work-in-Progress Session
of the 3rd Learning Language in Logic (LLL) Workshop is coming soon:
24 June 2001. See the CFP below for details.
On the joint session between ILP and LLL, Dan Roth, University of
Illinois, will give a plenary talk.
Best regards
Lubos Popelinsky and Miloslav Nepil
3rd LEARNING LANGUAGE IN LOGIC (LLL) WORKSHOP
http://www.fi.muni.cz/ilpnet2/LLL2001
8th - 9th September 2001, Strasbourg
Co-located with ILP 2001
CALL FOR WORK-IN-PROGRESS PAPERS
--------------------------------
SUBMISSIONS
Please submit by sending electronically to lll01 at fi.muni.cz
a full paper (PS or PDF format) up to 12 pages in LNCS/LNAI
Springer style.
Paper submission deadline: June, 24
Notification of acceptance: July, 9
Final version due: July, 27
Works in progress will be published in working notes (Technical
Report of FI MU Brno).
PRESENTATION
Our purpose is to provide a forum for discussion on all aspects
of learning language in logic.
It is the follow-up of the previous LLL workshops held in 1999
in Bled, Slovenia, and in 2000 in Lisboa, Portugal.
The goal of this workshop is to bring together researchers who
are working on learning from text, while emphasizing the
logic-based learning techniques and algorithms.
We strongly encourage contributions concerning semantic analysis
of natural languages, describing logic-based learning techniques
alternative to ILP, employing active learning or solving tasks
for other languages than English.
These techniques include but are not limited to:
- Combinations of approaches and multi-strategy learning
- Instance-based and clustering approaches in relational
learning
- Scalability issues (applying logic-based methods to large
data sets)
- Logical approaches to statistical NLP
- Higher-order logic for LLL
- Handling very complex terms
- Collaborative and interactive learning
- Shallow parsing
- Grammar learning
- Learning subcategorisation frames
- Part-of-speech tagging
- Morphosyntactic tagging
- Morphological analysis
- Information indexing, filtering, retrieval, extraction
- Text classification methods
- Question answering
- Learning ontologies, thesauri and lexicon
- Extracting predicate-argument structure
PROGRAM CHAIR
Lubos Popelinsky (Masaryk University in Brno, Czechia)
MEMBERS
Pieter Adriaans (Syllogic and University of Amsterdam, Netherlands)
James Cussens (University of York, UK)
Martin Eineborg (University of Stockholm, Sweden)
Tomaz Erjavec (Institute Jozef Stefan, Slovenia)
Suresh Manandhar (University of York, UK)
Claire Nedellec (LRI, University of Paris-Sud, France)
Guenter Neumann (DFKI, Saarbrücken, Germany)
Stefan Wrobel (University of Magdeburg, Germany)
ORGANIZATION
Nicolas Lachiche (LSIIT Strasbourg, France)
INVITED SPEAKER
Dan Roth (University of Illinois, USA)
SUPPORT
LLL 2001 is financially supported by the Network of Excellence
in Inductive Logic Programming ILPnet2 funded under the European
Union's INCO program.
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Lubos Popelinsky Voice: +420 5 41512 324
Dept. of Comp.Sci., Faculty of Informatics Fax : +420 5 4121 2568
Masaryk University, Botanicka 68a Email: popel at fi.muni.cz
CZ-602 00 Brno, Czech Republic www.fi.muni.cz/~popel
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