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eBook Recent Advances in Natural Language Processing III: Selected papers from RANLP 2003 (Current Issues in Linguistic Theory) epub

by Nicolas Nicolov,Kalina Bontcheva,Galia Angelova,Ruslan Mitkov

eBook Recent Advances in Natural Language Processing III: Selected papers from RANLP 2003 (Current Issues in Linguistic Theory) epub
  • ISBN: 9027247749
  • Author: Nicolas Nicolov,Kalina Bontcheva,Galia Angelova,Ruslan Mitkov
  • Genre: Reference
  • Subcategory: Words Language & Grammar
  • Language: English
  • Publisher: John Benjamins Publishing Company (November 30, 2004)
  • Pages: 416 pages
  • ePUB size: 1942 kb
  • FB2 size 1452 kb
  • Formats azw doc docx txt


Nicolas Nicolov, Kalina Bontcheva, Galia Angelova.

Nicolas Nicolov, Kalina Bontcheva, Galia Angelova. A wide range of topics is covered in the volume: semantics, dialogue, summarization, anaphora resolution, shallow parsing, morphology, part-of-speech tagging, named entity, question answering, word sense disambiguation, information extraction.

Series: Current Issues in Linguistic Theory (Book 136). Hardcover: 486 pages. Publisher: John Benjamins Publishing Company (November 20, 1997). ISBN-13: 978-1556195914.

Nicolas Nicolov, Kalina Bontcheva, Galia Angelova, Ruslan Mitkov

Nicolas Nicolov, Kalina Bontcheva, Galia Angelova, Ruslan Mitkov.

Date: 27-Dec-2004 From: Paul Peranteau

19. Riloff, . Wiebe, . Learning extraction patterns for subjective expressions. Frank, . Data Mining: Practical Machine Learning Tools and Techniques, 2nd edn.

This volume brings together revised versions of a selection of papers presented at the 2003 International Conference on “Recent Advances in Natural Language Processing”. A wide range of topics is covered in the volume: semantics, dialogue, summarization, anaphora resolution, shallow parsing, morphology, part-of-speech tagging, named entity, question answering, word sense disambiguation, information extraction. Various ‘state-of-the-art’ techniques are explored: finite state processing, machine learning (support vector machines, maximum entropy, decision trees, memory-based learning, inductive logic programming, transformation-based learning, perceptions), latent semantic analysis, constraint programming. The papers address different languages (Arabic, English, German, Slavic languages) and use different linguistic frameworks (HPSG, LFG, constraint-based DCG).This book will be of interest to those who work in computational linguistics, corpus linguistics, human language technology, translation studies, cognitive science, psycholinguistics, artificial intelligence, and informatics.
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