Learning Language in Logic (Lecture Notes in Computer Science)
Contributors: James Cussens (Editor); Saso Dzeroski (Editor)
Edition: 1 edition
Publisher: Springer
Published: November 27, 2000
Language: eng
Format: Paperback
Number of pages: 301
ISBN-13: 9783540411451
Subjects: Artificial intelligence; Programming languages; Natural Language Processing (Computer Science); Computers - Languages / Programming; Programming - General; Computer Logic; Computers; Natural Language Processing; Computer Books: General; Logic, Symbolic and mathematical; Logic; Artificial Intelligence - General; Computational Linguistics; Computational Logic; Computers / Artificial Intelligence; Formal Logic; Inductive Logic Programming; Information Extraction; Language Learning; Machine Learning; Mathematical Logic; Natural language processing (C; Computer Science; Logic, Symbolic and mathematic
First sentence: Learning Language in Logic (LLL) is an emerging research area lying at the intersection of computational logic, machine learning and natural language processing (Fig 1).
Description: This volume has its origins in the ?rst Learning Language in Logic (LLL) wo- shop which took place on 30 June 1999 in Bled, Slovenia immediately after the Ninth International Workshop on Inductive Logic Programming (ILP’99) and the Sixteenth International Conference on Machine Learning (ICML’99). LLL is a research area lying at the intersection of computational linguistics, machine learning, and computational logic. As such it is of interest to all those working in these three ?elds. I am pleased to say that the workshop attracted subm- sions from both the natural language processing (NLP) community and the ILP community, re?ecting the essentially multi-disciplinary nature of LLL. Eric Brill and Ray Mooney were invited speakers at the workshop and their contributions to this volume re?ect the topics of their stimulating invited talks. After the workshop authors were given the opportunity to improve their papers, the results of which are contained here. However, this volume also includes a substantial amount of two sorts of additional material. Firstly, since our central aim is to introduce LLL work to the widest possible audience, two introductory chapters have been written. Dzeroski, ? Cussens and Manandhar provide an - troduction to ILP and LLL and Thompson provides an introduction to NLP.