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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
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
NAACL
2010
13 years 2 months ago
Clinical Information Retrieval using Document and PICO Structure
In evidence-based medicine, clinical questions involve four aspects: Patient/Problem (P), Intervention (I), Comparison (C) and Outcome (O), known as PICO elements. In this paper w...
Florian Boudin, Jian-Yun Nie, Martin Dawes
IRI
2006
IEEE
13 years 10 months ago
Integration of low level linguistic information for clinical document semantic tagging
We propose a semantic tagger that provides high level concept information for phrases based on several kinds of low level information about words in clinical narrative texts. The ...
Hyeju Jang, Yun Jin, Sung-Hyon Myaeng
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