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» Positional language models for information retrieval
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SIGIR
2009
ACM
13 years 11 months ago
Positional language models for information retrieval
Although many variants of language models have been proposed for information retrieval, there are two related retrieval heuristics remaining “external” to the language modelin...
Yuanhua Lv, ChengXiang Zhai
EMNLP
2010
13 years 2 months ago
Positional Language Models for Clinical Information Retrieval
The PECO framework is a knowledge representation for formulating clinical questions. Queries are decomposed into four aspects, which are Patient-Problem (P), Exposure (E), Compari...
Florian Boudin, Jian-Yun Nie, Martin Dawes
LREC
2010
173views Education» more  LREC 2010»
13 years 6 months ago
Czech Information Retrieval with Syntax-based Language Models
In this paper, we deal with information retrieval approach based on language model paradigm, which has been intensively investigated in recent years. We propose, implement, and ev...
Jana Straková, Pavel Pecina
SIGIR
2010
ACM
13 years 8 months ago
Positional relevance model for pseudo-relevance feedback
Pseudo-relevance feedback is an effective technique for improving retrieval results. Traditional feedback algorithms use a whole feedback document as a unit to extract words for ...
Yuanhua Lv, ChengXiang Zhai
IR
2008
13 years 4 months ago
An analysis on document length retrieval trends in language modeling smoothing
Abstract. Document length is widely recognized as an important factor for adjusting retrieval systems. Many models tend to favor the retrieval of either short or long documents and...
David E. Losada, Leif Azzopardi