Information Retrieval:  A Health & Biomedical Perspective (Second Edition) William Hersh, M.D. Springer-Verlag , 2003 Back to Updates Table of Contents

Update to Chapter 9 - Linguistic Systems

• Cross-language retrieval - The Cross-Language Evaluation Forum (CLEF, www.clef-campaign.org) continues to go well, and the May, 2005 issue of Information Professing & Management has a number of papers about the initiative.
• Question-Answering - The TREC Question-Answering Track continues to attract interest and participants, and it is probably the single area of IR that has had the most use of NLP.
  

9.1  Rationale for linguistic systems in IR

9.2  Overview of linguistics

9.2.1  Branches of linguistics

9.2.2  Overview of English

9.2.3  Phases of NLP

9.2.3.1  Syntax and Parsing

9.2.3.2  Semantics and case frames

9.2.3.3  Context

9.2.4  New approaches to NLP

9.3  Feasibility of NLP in IR

9.3.1  Lexical knowledge

9.3.2  Term dependency studies

9.3.3  Effect of ambiguity

9.3.4  Ability to recognize nominal compounds

9.4  Linguistic Techniques in Ad Hoc Retrieval

9.4.1  Morphologic analysis

9.4.2  Parsing and syntactic analysis

9.4.2.1  Use of a standard parser for indexing terms

9.4.2.2  Parsing plus rules for syntactic disambiguation

9.4.2.3  Partial parsing

9.4.3  Word sense disambiguation

9.4.4  Semantic approaches

9.4.4.1  Lexical mapping of text into controlled vocabularies

9.4.4.2  Statistical mapping of text into controlled vocabularies

9.4.4.3  Semantically-assisted query expansion

9.5  Other Retrieval Applications of Linguistic Systems

9.5.1  Cross-Language Retrieval

9.5.2  Question-Answering

9.6  Summary