Difference between revisions of "Question Answering (State of the art)"

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! [http://en.wikipedia.org/wiki/Mean_average_precision MAP]
 
! [http://en.wikipedia.org/wiki/Mean_average_precision MAP]
 
! [http://en.wikipedia.org/wiki/Mean_reciprocal_rank MRR]
 
! [http://en.wikipedia.org/wiki/Mean_reciprocal_rank MRR]
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|-
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| Punyakanok (2004)
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| Wang et al. (2007)
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| 0.419
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| 0.494
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|-
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| Cui (2005)
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| Wang et al. (2007)
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| 0.427
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| 0.526
 
|-
 
|-
 
| Wang (2007)
 
| Wang (2007)
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== References ==
 
== References ==

Revision as of 16:15, 21 January 2014

Answer Sentence Selection

The task of answer sentence selection is designed for the open-domain question answering setting. Given a question and a set of candidate sentences, the task is to choose the correct sentence that contains the exact answer and can sufficiently support the answer choice.


Algorithm Reference MAP MRR
Punyakanok (2004) Wang et al. (2007) 0.419 0.494
Cui (2005) Wang et al. (2007) 0.427 0.526
Wang (2007) Wang et al. (2007) 0.603 0.685
H&S (2010) Heilman and Smith (2010) 0.609 0.692
W&M (2010) Wang and Manning (2010) 0.595 0.695
Yao (2013) Yao et al. (2013) 0.631 0.748
Shnarch (2013) - Backward Shnarch (2013) 0.686 0.754
Yih (2013) - LCLR Yih et al. (2013) 0.709 0.770

References