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» Priberam's Question Answering System in QA@CLEF 2007
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MEDINFO
2007
137views Healthcare» more  MEDINFO 2007»
13 years 9 months ago
How do Clinicians Search For and Access Biomedical Literature to Answer Clinical Questions?
This paper presents a retrospective data analysis on how 75 clinicians searched for and accessed biomedical literature from an online information retrieval system to answer six cl...
Annie Y. S. Lau, Enrico W. Coiera
COLING
2007
13 years 7 months ago
Answering Clinical Questions with Knowledge-Based and Statistical Techniques
cally identifying clinically relevant aspects of MEDLINE abstracts. These extracted elements serve as the input to an algorithm that scores the relevance of citations with respect ...
Dina Demner-Fushman, Jimmy J. Lin
LREC
2010
179views Education» more  LREC 2010»
13 years 9 months ago
Evaluation Protocol and Tools for Question-Answering on Speech Transcripts
Question Answering (QA) technology aims at providing relevant answers to natural language questions. Most Question Answering research has focused on mining document collections co...
Nicolas Moreau, Olivier Hamon, Djamel Mostefa, Sop...
WILF
2007
Springer
101views Fuzzy Logic» more  WILF 2007»
14 years 1 months ago
Exploring the Application of Fuzzy Logic and Data Fusion Mechanisms in QAS
In this paper we explore the application of fuzzy logic and data fusion techniques to improve the performance of passage retrieval in open domain Question Answering Systems (QAS). ...
Daniel Ortiz Arroyo, Hans Ulrich Christensen
CLEF
2007
Springer
14 years 1 months ago
Using Recognizing Textual Entailment as a Core Engine for Answer Validation
This paper is about our approach to answer validation, which centered by a Recognizing Textual Entailment (RTE) core engine. We first combined the question and the answer into Hypo...
Rui Wang, Günter Neumann