Learning Language in Logic / Edition 1by James Cussens
Pub. Date: 09/28/2000
Publisher: Springer Berlin Heidelberg
This book provides a self-contained introduction to Learning Language in Logic (LLL) and, at the same time, competently surveys the current state of the art of research in the area. The book has its origin in the first LLL workshop which took place in Bled, Slovenia in June 1999. Beyond revised workshop papers, a number of additional chapters were solicited from
This book provides a self-contained introduction to Learning Language in Logic (LLL) and, at the same time, competently surveys the current state of the art of research in the area. The book has its origin in the first LLL workshop which took place in Bled, Slovenia in June 1999. Beyond revised workshop papers, a number of additional chapters were solicited from leading researchers in order to achieve complete coverage of all current aspects and to introduce the new area to a broader audience.
As the first book devoted to LLL, this thoroughly cross-reviewed state-of-the-art survey will become a valuable source of reference for researchers active in the area. Newcomers or professionals interested in advanced LLL applications will find this book an ideal guide to an exciting new field.
- Springer Berlin Heidelberg
- Publication date:
- Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence Series, #1925
- Edition description:
- Product dimensions:
- 6.12(w) x 9.30(h) x 0.76(d)
Table of Contents
Introductions & Overviews.- An Introduction to Inductive Logic Programming and Learning Language in Logic.- A Brief Introduction to Natural Language Processing for Non-linguists.- A Closer Look at the Automatic Induction of Linguistic Knowledge.- Learning for Semantic Interpretation: Scaling Up without Dumbing Down.- Morphology & Phonology.- Learning to Lemmatise Slovene Words.- Achievements and Prospects of Learning Word Morphology with Inductive Logic Programming.- Learning the Logic of Simple Phonotactics.- Syntax.- Grammar Induction as Substructural Inductive Logic Programming.- Experiments in Inductive Chart Parsing.- ILP in Part-of-Speech Tagging — An Overview.- Iterative Part-of-Speech Tagging.- DCG Induction Using MDL and Parsed Corpora.- Learning Log-Linear Models on Constraint-Based Grammars for Disambiguation.- Unsupervised Lexical Learning with Categorial Grammars Using the LLL Corpus.- Induction of Recursive Transfer Rules.- Learning for Text Categorization and Information Extraction with ILP.- Corpus-Based Learning of Semantic Relations by the ILP System, Asium.- Improving Learning by Choosing Examples Intelligently in Two Natural Language Tasks.
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