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Dialogue State Tracking with Incremental Reasoning
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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
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In: http://www.public.asu.edu/~xiahu/papers/sigir10Hu.pdf (2010)
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Explore large scale data for multimedia QA—an initial study
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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
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In: http://vireo.cs.cityu.edu.hk/papers/mm09-workshop-hong.pdf (2009)
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Document concept lattice for text understanding and summarization
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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
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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
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In: http://wing.comp.nus.edu.sg/~qiu/Publications/lrec04/lrec04_JavaRAP.pdf (2004)
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Abstract:
This paper describes a standalone, publicly-available implementation of the Resolution of Anaphora Procedure (RAP) given by Lappin and Leass (1994). The RAP algorithm resolves third person pronouns, lexical anaphors, and identifies pleonastic pronouns. Our implementation, JavaRAP, fills a current need in anaphora resolution research by providing a reference implementation that can be benchmarked against current algorithms. The implementation uses the standard, publicly available Charniak (2000) parser as input, and generates a list of anaphora-antecedent pairs as output. Alternately, an in-place annotation or substitution of the anaphors with their antecedents can be produced. Evaluation on the MUC-6 co-reference task shows that JavaRAP has an accuracy of 57.9%, similar to the performance given previously in the literature (e.g., Preiss 2002). 1.
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.329.2706
http://wing.comp.nus.edu.sg/~qiu/Publications/lrec04/lrec04_JavaRAP.pdf
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| 8 |
Unsupervised learning of soft patterns for generating definitions from online news
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In: http://cuihang.com/publications/p613-cui.pdf (2004)
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| 9 |
Unsupervised Learning of Soft Patterns for Definitional Question Answering
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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
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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
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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
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In: http://www.aclweb.org/anthology-new/E/E03/E03-1070.pdf (2003)
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QUALIFIER: Question Answering by Lexical Fabric and External Resources
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In: http://acl.ldc.upenn.edu/eacl2003/html/./papers/main/p45.pdf (2003)
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| 14 |
VideoQA: Question answering on news video
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In: http://www.cs.cmu.edu/~huiyang/publication/acmmm2003.pdf (2003)
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| 15 |
VideoQA: question answering on news video
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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
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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
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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
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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
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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
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In: https://www.aaai.org/Papers/AAAI/2002/AAAI02-063.pdf
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