1 What is the Role of Nlp in Text Retrieval? --;2 NLP For Term Variant Extraction: Synergy Between Morphology, Lexicon, and Syntax --;3 Combining Corpus Linguistics and Human Memory Models for Automatic Term Association --;4 Using NLP or NLP Resources for Information Retrieval Tasks --;5 Evaluating Natural Language Processing Techniques in Information Retrieval --;6 Stylistic Experiments in Information Retrieval --;7 Extraction-Based Text Categorization: Generating Domain-Specific Role Relationships Automatically --;8 LaSIE Jumps the GATE --;9 Phrasal Terms in Real-World IR Applications --;10 Name Recognition and Retrieval Performance --;11 COLLAGE: An NLP Toolset to Support Boolean Retrieval --;12 Document Classification and Routing --;13 Murax: Finding and Organizing Answers from Text Search --;14 The Use of Categories and Clusters for Organizing Retrieval Results.
SUMMARY OR ABSTRACT
Text of Note
Since we assume that the information is primarily encoded as text, IR is also a natural language processing problem: in order to decide if a document is relevant to a given information need, one needs to be able to understand its content.