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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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| 3 |
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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| 5 |
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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| 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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Abstract:
Breaking news often contains timely definitions and descriptions of current terms, organizations and personalities. We utilize such web sources to construct definitions for such terms. Previous work has identified definitions using hand-crafted rules or supervised learning that constructs rigid, hard text patterns. In contrast, we demonstrate a new approach that uses flexible, soft matching patterns to characterize definition sentences. Our soft patterns are able to effectively accommodate the diversity of definition sentence structure exhibited in news. We use pseudorelevance feedback to automatically label sentences for use in soft pattern generation. The application of our unsupervised method significantly improves baseline systems on both the standardized TREC corpus as well as crawled online news articles by 27 % and 30%, respectively, in terms of F measure. When applied to a state-of-art definition generation system recently fielded in the TREC 2003 definitional question answering task, it improves the performance by 14%.
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Keyword:
definitional question answering; soft patterns
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.6860
http://www.www2004.org/proceedings/docs/1p90.pdf
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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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| 13 |
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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