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» Use of Metadata for Question Answering and Novelty Tasks
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ACL
2009
13 years 5 months ago
A Graph-based Semi-Supervised Learning for Question-Answering
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...
Asli Çelikyilmaz, Marcus Thint, Zhiheng Hua...
ACL
2009
13 years 5 months ago
Do Automatic Annotation Techniques Have Any Impact on Supervised Complex Question Answering?
In this paper, we analyze the impact of different automatic annotation methods on the performance of supervised approaches to the complex question answering problem (defined in th...
Yllias Chali, Sadid A. Hasan, Shafiq R. Joty
DGO
2004
110views Education» more  DGO 2004»
13 years 9 months ago
Question Answering Performance on Table Data
Question answering (QA) on table data is a challenging information retrieval task. This paper describes a QA system for tables created with both machine learning and heuristic tab...
Xing Wei, W. Bruce Croft, David Pinto
EXACT
2007
13 years 10 months ago
A Categorization of Explanation Questions for Task Processing Systems
A critical aspect of any explanation module is the set of user questions the system will be able to address. However, there has been relatively little work on listing and organizi...
Deborah L. McGuinness, Alyssa Glass, Michael Wolve...
CLEF
2003
Springer
14 years 27 days ago
Creating the DISEQuA Corpus: A Test Set for Multilingual Question Answering
This paper describes the procedure adopted by the three co-ordinators of the CLEF 2003 question answering track (ITC-irst, UNED and ILLC) to create the question set for the monoli...
Bernardo Magnini, Simone Romagnoli, Alessandro Val...