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» Selecting Sentences for Answering Complex Questions
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ICTAI
2008
IEEE
13 years 11 months ago
Answering Complex Questions Using Query-Focused Summarization Technique
Unlike simple questions, complex questions cannot be answered by simply extracting named entities. These questions require inferencing and synthesizing information from multiple d...
Yllias Chali, Shafiq R. Joty
AIED
2005
Springer
13 years 10 months ago
Realizing Adaptive Questions and Answers for ICALL Systems
Language training systems that provide learners adaptive questions on the contents of stories require several capabilities such as semantic analysis, automated question generation ...
Hidenobu Kunichika, Minoru Urushima, Tsukasa Hiras...
AI
2007
Springer
13 years 11 months ago
Question Answering Summarization of Multiple Biomedical Documents
Abstract. In this paper we introduce a system that automatically summarizes multiple biomedical documents relevant to a question. The system extracts biomedical and general concept...
Zhongmin Shi, Gabor Melli, Yang Wang, Yudong Liu, ...
SYNTHESE
2008
84views more  SYNTHESE 2008»
13 years 4 months ago
Model structure adequacy analysis: selecting models on the basis of their ability to answer scientific questions
Models carry the meaning of science. This puts a tremendous burden on the process of model selection. In general practice, models are selected on the basis of their relative goodne...
Mark L. Taper, David F. Staples, Bradley B. Shepar...
AIRS
2008
Springer
13 years 11 months ago
Using Multiple Combined Ranker for Answering Definitional Questions
This paper presents a Multiple Combined Ranker (MCR) approach for answering definitional questions. Generally, our MCR approach first extracts question target-related knowledge as ...
Junkuo Cao, Lide Wu, Xuanjing Huang, Yaqian Zhou, ...