Natural Language Processing and Information Systems: 11th International Conference on Applications of Natural Language to Information Systems, NLDB 2006, Klagenfurt, Austria, May 31 - June 2, 2006, Proceedings: Lecture Notes in Computer Science, cartea 3999

Concepts Extraction and Ontology.- An Automated Multi-component Approach to Extracting Entity Relationships from Database Requirement Specification Documents.- Function Point Extraction Method from Goal and Scenario Based Requirements Text.- Unsupervised Keyphrase Extraction for Search Ontologies.- Studying Evolution of a Branch of Knowledge by Constructing and Analyzing Its Ontology.- Ontologies and Task Repository Utilization.- Document Space Adapted Ontology: Application in Query Enrichment.- The Language of Folksonomies: What Tags Reveal About User Classification.- A Task Repository for Ambient Intelligence.- Query Processing.- Formulating Queries for Assessing Clinical Trial Eligibility.- Multi-lingual Web Querying: A Parametric Linguistics Based Approach.- Using Semantic Knowledge to Improve Web Query Processing.- Information Retrieval and Dialog Processing.- Using Semantic Constraints to Improve Question Answering.- An Abstract Model of Man-Machine Interaction Based on Concepts from NL Dialog Processing.- The PHASAR Search Engine.- NLP Techniques.- Language Identification in Multi-lingual Web-Documents.- DILUCT: An Open-Source Spanish Dependency Parser Based on Rules, Heuristics, and Selectional Preferences.- Fine Tuning Features and Post-processing Rules to Improve Named Entity Recognition.- The Role and Resolution of Textual Entailment in Natural Language Processing Applications.- Short Paper Session I.- An Information Retrieval Approach Based on Discourse Type.- Natural Language Updates to Databases Through Dialogue.- Short Paper Session II.- Automatic Construction of a Japanese Onomatopoeic Dictionary Using Text Data on the WWW.- Category-Based Audience Metrics for Web Site Content Improvement Using Ontologies and Page Classification.- Automatic Turkish TextCategorization in Terms of Author, Genre and Gender.