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

From ACL Wiki
Jump to navigation Jump to search
Line 54: Line 54:
  
 
== References ==
 
== References ==
* Wang, Mengqiu and Smith, Noah A. and Mitamura, Teruko. [http://www.aclweb.org/anthology/D/D07/D07-1003 What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA]. In EMNLP-CoNLL 2007.
+
* Vasin Punyakanok, Dan Roth, and Wen-Tau Yih. 2004. [http://cogcomp.cs.illinois.edu/papers/PunyakanokRoYi04a.pdf Mapping dependencies trees: An application to question answering]. In Proceedings of the 8th International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, FL, USA.
* Heilman, Michael and Smith, Noah A. [http://www.aclweb.org/anthology/N10-1145 Tree Edit Models for Recognizing Textual Entailments, Paraphrases, and Answers to Questions]. In NAACL-HLT 2010.
+
* Hang Cui, Renxu Sun, Keya Li, Min-Yen Kan, and Tat-Seng Chua. 2005. [http://ws.csie.ncku.edu.tw/login/upload/2005/paper/Question%20answering%20Question%20answering%20passage%20retrieval%20using%20dependency%20relations.pdf Question answering passage retrieval using dependency relations]. In Proceedings of the 28th ACM-SIGIR International Conference on Research and Development in Information Retrieval, Salvador, Brazil.
 +
* Wang, Mengqiu and Smith, Noah A. and Mitamura, Teruko. 2007. [http://www.aclweb.org/anthology/D/D07/D07-1003.pdf What is the Jeopardy Model? A Quasi-Synchronous Grammar for QA]. In EMNLP-CoNLL 2007.
 +
* Heilman, Michael and Smith, Noah A. 2010. [http://www.aclweb.org/anthology/N10-1145 Tree Edit Models for Recognizing Textual Entailments, Paraphrases, and Answers to Questions]. In NAACL-HLT 2010.
 
* E. Shnarch. Probabilistic Models for Lexical Inference. Ph.D. thesis, Bar Ilan University. 2013.
 
* E. Shnarch. Probabilistic Models for Lexical Inference. Ph.D. thesis, Bar Ilan University. 2013.
 
* Yao, Xuchen and Van Durme, Benjamin and Callison-Burch, Chris and Clark, Peter.  [http://www.aclweb.org/anthology/N13-1106 Answer Extraction as Sequence Tagging with Tree Edit Distance]. In NAACL-HLT 2013.
 
* Yao, Xuchen and Van Durme, Benjamin and Callison-Burch, Chris and Clark, Peter.  [http://www.aclweb.org/anthology/N13-1106 Answer Extraction as Sequence Tagging with Tree Edit Distance]. In NAACL-HLT 2013.

Revision as of 16:19, 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