BOOK-CHAPTER

Utilizing Passage-Based Language Models for Document Retrieval

Michael BenderskyOren Kurland

Year: 2008 Lecture notes in computer science Pages: 162-174   Publisher: Springer Science+Business Media
Keywords:
Homogeneity (statistics) Computer science Information retrieval Relevance (law) Ranking (information retrieval) Language model Document retrieval Natural language processing Probabilistic logic Document Structure Description Divergence-from-randomness model Artificial intelligence Document clustering XML Machine learning World Wide Web Cluster analysis

Metrics

22
Cited By
1.54
FWCI (Field Weighted Citation Impact)
21
Refs
0.86
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Information Retrieval and Search Behavior
Physical Sciences →  Computer Science →  Information Systems
Topic Modeling
Physical Sciences →  Computer Science →  Artificial Intelligence
Web Data Mining and Analysis
Physical Sciences →  Computer Science →  Information Systems

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JOURNAL ARTICLE

Utilizing passage-based language models for document retrieval

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Journal:   European Conference on Information Retrieval Year: 2008 Pages: 162-174
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Utilizing passage-based language models for ad hoc document retrieval

Michael BenderskyOren Kurland

Journal:   Information Retrieval Year: 2009 Vol: 13 (2)Pages: 157-187
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