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1
Dialogue State Tracking with Incremental Reasoning
In: Transactions of the Association for Computational Linguistics, Vol 9, Pp 557-569 (2021) (2021)
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2
Segmentation of multisentence questions: towards effective question retrieval in cQA services
In: http://www.public.asu.edu/~xiahu/papers/sigir10Hu.pdf (2010)
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3
Explore large scale data for multimedia QA—an initial study
In: http://lms.comp.nus.edu.sg/sites/default/files/publication-attachments/civr10-hongrichang.pdf (2010)
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4
Event Driven Summarization for Web Videos
In: http://vireo.cs.cityu.edu.hk/papers/mm09-workshop-hong.pdf (2009)
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5
Document concept lattice for text understanding and summarization
In: http://lms.comp.nus.edu.sg/papers/Papers/text/ipm07.pdf (2007)
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6
c○2006 The Association for Computational Linguistics
In: http://aclweb.org/anthology//W/W06/W06-07.pdf (2006)
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7
A public reference implementation of the rap anaphora resolution algorithm
In: http://wing.comp.nus.edu.sg/~qiu/Publications/lrec04/lrec04_JavaRAP.pdf (2004)
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8
Unsupervised learning of soft patterns for generating definitions from online news
In: http://cuihang.com/publications/p613-cui.pdf (2004)
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9
Unsupervised Learning of Soft Patterns for Definitional Question Answering
In: http://www.cuihang.com/publications/SP_DefQA.pdf (2004)
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10
Unsupervised Learning of Soft Patterns for Generating Definitions from Online News
In: http://www.www2004.org/proceedings/docs/1p90.pdf (2004)
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11
A public reference implementation of the rap anaphora resolution algorithm
In: http://www.comp.nus.edu.sg/~kanmy/papers/FullPaper.pdf (2004)
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12
QUALIFIER: Question Answering by Lexical Fabric and External Resources
In: http://www.aclweb.org/anthology-new/E/E03/E03-1070.pdf (2003)
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13
QUALIFIER: Question Answering by Lexical Fabric and External Resources
In: http://acl.ldc.upenn.edu/eacl2003/html/./papers/main/p45.pdf (2003)
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14
VideoQA: Question answering on news video
In: http://www.cs.cmu.edu/~huiyang/publication/acmmm2003.pdf (2003)
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15
VideoQA: question answering on news video
In: http://www.aquaphoenix.com/presentations/candidacy/yang03.pdf (2003)
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16
The integration of lexical knowledge and external resources for question answering
In: http://lms.comp.nus.edu.sg/papers/Papers/text/trec02-qa.pdf (2002)
Abstract: For the short, factoid questions in TREC, the query terms we get from the original questions are either too brief or often do not contain most relevant information in the corpus. It will be very difficult to find the answer (especially exact answer) in a large text document collection because of the gap between the query space and the document space. In order to bridge this gap, there is a need to expand the original queries to include the terms in the document space. In this research, we investigate the integration of both the Web and WordNet in performing local context and lexical correlations to bridge the gap. In order to minimize the noise introduced by the external resources, we explore detailed question classes, fine-grained named entities, and iterative constraint relaxation. 1.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.99.4207
http://lms.comp.nus.edu.sg/papers/Papers/text/trec02-qa.pdf
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17
The Integration of Lexical Knowledge and External Resources for Question Answering
In: http://trec.nist.gov/pubs/trec11/./papers/nus.pris.yang.ps.gz (2002)
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18
The Integration of Lexical Knowledge and External Resources for Question Answering
In: http://www.ai.mit.edu/people/jimmylin/papers/YangH02.pdf (2002)
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19
Detection of Human Faces in Compressed Domain for Video Stratification
In: http://www.comp.nus.edu.sg/~chuats/papers/tvc02.pdf (2002)
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20
2002, “Learning Pattern Rules for Chinese Named Entity Extraction
In: https://www.aaai.org/Papers/AAAI/2002/AAAI02-063.pdf
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