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PRL
2008
181views more  PRL 2008»
15 years 6 months ago
Extractive spoken document summarization for information retrieval
The purpose of extractive summarization is to automatically select a number of indicative sentences, passages, or paragraphs from the original document according to a target summa...
Berlin Chen, Yi-Ting Chen
JUCS
2007
106views more  JUCS 2007»
15 years 6 months ago
An Ontology-based Approach to Support Text Mining and Information Retrieval in the Biological Domain
: This paper describes an ontology-based approach aiming at helping biologists to annotate their documents and at facilitating their information retrieval task. Our approach, based...
Khaled Khelif, Rose Dieng-Kuntz, Pascal Barbry
IPM
1998
111views more  IPM 1998»
15 years 5 months ago
Crossover Improvement for the Genetic Algorithm in Information Retrieval
- Genetic algorithms (GAs) search for good solutions to a problem by operations inspired from the natural selection of living beings. Among their many uses, we can count informatio...
Dana Vrajitoru
ACL
2010
15 years 4 months ago
A Study of Information Retrieval Weighting Schemes for Sentiment Analysis
Most sentiment analysis approaches use as baseline a support vector machines (SVM) classifier with binary unigram weights. In this paper, we explore whether more sophisticated fea...
Georgios Paltoglou, Mike Thelwall
EMNLP
2010
15 years 4 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