Using Inductive Logic Programming for Natural Language Processing

James Cussens; David Page; Stephen Muggleton; Ashwin Srinivasan

Using Inductive Logic Programming for Natural Language Processing

James Cussens, David Page, Stephen Muggleton, Ashwin Srinivasan

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We summarise recent work on using Inductive Logic Programming (ILP) for Natural Language Processing (NLP). ILP performs learning in a first-order logical setting, and is thus well-suited to induce over the various structured representations used in NLP. We present Stochastic Logic Programs (SLPs) and demonstrate their use in ILP when learning from positive examples only. We also give accounts of work on learning grammars from children's books and part-of-speech tagging.

Original language	English
Title of host publication	ECML'97 -- Workshop Notes on Empirical Learning of Natural Language Tasks
Editors	W. Daelemans, T. Weijters, A. van der Bosch
Place of Publication	Prague
Publisher	University of Economics, Prague
Pages	25-34
Number of pages	10
Publication status	Published - 1997

Bibliographical note

Invited keynote paper

Access to Document

ftp://ftp.cs.york.ac.uk/pub/aig/Papers/james.cussens/ecml97mlnet.ps.gz

Cite this

Cussens, J., Page, D., Muggleton, S., & Srinivasan, A. (1997). Using Inductive Logic Programming for Natural Language Processing. In W. Daelemans, T. Weijters, & A. V. D. Bosch (Eds.), ECML'97 -- Workshop Notes on Empirical Learning of Natural Language Tasks (pp. 25-34). University of Economics, Prague. ftp://ftp.cs.york.ac.uk/pub/aig/Papers/james.cussens/ecml97mlnet.ps.gz

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abstract = "We summarise recent work on using Inductive Logic Programming (ILP) for Natural Language Processing (NLP). ILP performs learning in a first-order logical setting, and is thus well-suited to induce over the various structured representations used in NLP. We present Stochastic Logic Programs (SLPs) and demonstrate their use in ILP when learning from positive examples only. We also give accounts of work on learning grammars from children's books and part-of-speech tagging.",

author = "James Cussens and David Page and Stephen Muggleton and Ashwin Srinivasan",

note = "Invited keynote paper",

year = "1997",

language = "English",

pages = "25--34",

editor = "W. Daelemans and T. Weijters and Bosch, {A. van der}",

booktitle = "ECML'97 -- Workshop Notes on Empirical Learning of Natural Language Tasks",

publisher = "University of Economics, Prague",

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Using Inductive Logic Programming for Natural Language Processing. / Cussens, James; Page, David; Muggleton, Stephen et al.

ECML'97 -- Workshop Notes on Empirical Learning of Natural Language Tasks. ed. / W. Daelemans; T. Weijters; A. van der Bosch. Prague : University of Economics, Prague, 1997. p. 25-34.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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M3 - Conference contribution

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BT - ECML'97 -- Workshop Notes on Empirical Learning of Natural Language Tasks

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