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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)
Abstract: One of the major challenges in TRECstyle question-answering (QA) is to overcome the mismatch in the lexical representations in the query space and document space. This is particularly severe in QA as exact answers, rather than documents, are required in response to questions. Most current approaches overcome the mismatch problem by employing either data redundancy strategy through the use of Web or linguistic resources. This paper investigates the integration of lexical relations and Web knowledge to tackle this problem. The results obtained on TREC11 QA corpus indicate that our approach is both feasible and effective. 1
URL: http://www.aclweb.org/anthology-new/E/E03/E03-1070.pdf
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.374.4036
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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)
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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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