Shallow parsing of INEX Queries
| Autor: | Haïfa Zargayouna, Victor Rosas, Sylvie Salotti |
|---|---|
| Přispěvatelé: | Zargayouna, Haifa |
| Jazyk: | angličtina |
| Rok vydání: | 2007 |
| Předmět: |
[INFO.INFO-AI] Computer Science [cs]/Artificial Intelligence [cs.AI]
Shallow parsing business.industry Computer science InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL [INFO.INFO-TT] Computer Science [cs]/Document and Text Processing computer.software_genre Task (project management) Question answering Artificial intelligence [INFO.INFO-IR] Computer Science [cs]/Information Retrieval [cs.IR] business computer Natural language Natural language processing XML retrieval |
| Zdroj: | Comparative Evaluation of XML Information Retrieval Systems ISBN: 9783540738879 INEX |
| Popis: | This article presents the contribution of the LIPN : Laboratoire d’Informatique de Paris Nord (France) to the NLQ2NEXI (Natural Language Queries to NEXI) task (part of the Natural Language Processing (NLP) track) of the Initiative for Evaluation of XML Retrieval (INEX 2006). It discusses the use of shallow parsing methods to analyse natural language queries. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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