Learning Methods in Multi-grained Query Answering

Autor:	Philipp Sorg
Rok vydání:	2008
Předmět:	Query expansion Information retrieval Computer science InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL Question answering Information access Learning methods Relevance feedback Query language
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540885634 International Semantic Web Conference
DOI:	10.1007/978-3-540-88564-1_64
Popis:	This PhD proposal is about the development of new methods for information access. Two new approaches are proposed: Multi-Grained Query Answering that bridges the gap between Information Retrieval and Question Answering and Learning-Enhanced Query Answering that enables the improvement of retrieval performance based on the experience of previous queries and answers.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::9400b3c2e6187ce78d738c5c89d67f37 https://doi.org/10.1007/978-3-540-88564-1_64 Zobrazit plný text záznamu