Corpus processing for lexical acquisition

Part 1 Introduction: issues in text-based lexicon acquistion - the problem of lexical knowledge acquistion text-based lexicon acquisition, Branimir Boguraev, James Pustejovsky. Part 2 Coping with unknown lexicalizations: internal and external evidence in the identification and semantic categorization of proper names - introduction, internal versus external evidence, procedure overview - delimit, classify, record, the setting for the process, walking through an example, David D. McDonald identifying unknown proper names in newswire text - introduction, approaches to name identification, proper names - syntax and semantics, overall algorithm, mention generator, knowledge sources, representation of uncertainty, appositives, coreference, Inderjeet Mani, T. Richard MacMillan categorizing and standardizing proper nouns for efficient information retrieval - introduction, proper noun boundary identification, proper noun classification scheme, use of proper nouns in matching, performance evaluation, system comparisons, future directions, Woojin Paik, Elizabeth D. Liddy, Edmund Yu, Mary McKenna. Part 3 Task-driven lexicon induction: customizing a lexicon to better suit a computational task - introduction, creating categories from WORDNET, a topic labeler, augmenting categories with relevant terms, combining distant categories, Marti A. Hearst, Hinrich Schutze towards building contextual representations of word senses using statistical models - contextual representations, acquiring topical context, an upper bound for classifier performance, acquiring local context, Claudia Leacock, Geoffrey Towell, Ellen M. Voorhees. Part 4 Categorization of lexical units: a context driven conceptual clustering method for verb classification - introduction, CIAULA - an algorithm to acquire word clusters, basic level categories, Roberto Basili, Maria-Teresa Pazienza, Paola Velardi distinguished usage - introduction, information extraction, functionality in lexical semantics, integrating syntactic with semantic constraints, patterns, the current state of pattern acquisition, structural similarity clustering, lexical clustering using edit distance, context clustering, context method results, Scott A. Waterman. (Part contents).