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» Using Information Extraction to Improve Document Retrieval
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EMNLP
2010
15 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
CICLING
2009
Springer
15 years 2 months ago
NLP for Shallow Question Answering of Legal Documents Using Graphs
Abstract. Previous work has shown that modeling relationships between articles of a regulation as vertices of a graph network works twice as better than traditional information ret...
Alfredo Monroy, Hiram Calvo, Alexander F. Gelbukh
CIKM
2009
Springer
15 years 10 months ago
Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection
High findability of documents within a certain cut-off rank is considered an important factor in recall-oriented application domains such as patent or legal document retrieval. ...
Shariq Bashir, Andreas Rauber
AIRS
2010
Springer
15 years 1 months ago
Re-ranking Summaries Based on Cross-Document Information Extraction
This paper describes a novel approach of improving multi-document summarization based on cross-document information extraction (IE). We describe a method to automatically incorpora...
Heng Ji, Juan Liu, Benoît Favre, Daniel Gill...
CIKM
2008
Springer
15 years 6 months ago
Using tag semantic network for keyphrase extraction in blogs
Folksonomies provide a comfortable way to search and browse the blogosphere. As the tags in the blogosphere are sparse, ambiguous and too general, this paper proposes both a super...
Lizhen Qu, Christof Müller, Iryna Gurevych