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» The OHSU Biomedical Question Answering System Framework
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LREC
2008
101views Education» more  LREC 2008»
13 years 9 months ago
The QALL-ME Benchmark: a Multilingual Resource of Annotated Spoken Requests for Question Answering
This paper presents the QALL-ME benchmark, a multilingual resource of annotated spoken requests in the tourism domain, freely available for research purposes. The languages curren...
Elena Cabrio, Milen Kouylekov, Bernardo Magnini, M...
AIIA
2009
Springer
14 years 2 months ago
Analyzing Interactive QA Dialogues Using Logistic Regression Models
With traditional Question Answering (QA) systems having reached nearly satisfactory performance, an emerging challenge is the development of successful Interactive Question Answeri...
Manuel Kirschner, Raffaella Bernardi, Marco Baroni...
EMNLP
2009
13 years 5 months ago
Unsupervised Semantic Parsing
We present the first unsupervised approach to the problem of learning a semantic parser, using Markov logic. Our USP system transforms dependency trees into quasi-logical forms, r...
Hoifung Poon, Pedro Domingos
ENGL
2006
157views more  ENGL 2006»
13 years 7 months ago
Dealing with Acronyms in Biomedical Texts
Recently, there has been a growth in the amount of machine readable information pertaining to the biomedical field. With this growth comes a desire to be able to extract informati...
David B. Bracewell, Fuji Ren, Shingo Kuroiwa
BMCBI
2007
151views more  BMCBI 2007»
13 years 7 months ago
A comparison study on algorithms of detecting long forms for short forms in biomedical text
Motivation: With more and more research dedicated to literature mining in the biomedical domain, more and more systems are available for people to choose from when building litera...
Manabu Torii, Zhang-Zhi Hu, Min Song, Cathy H. Wu,...