Cheap facts and counter-facts

Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, Mturk 2010 at the 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2010 - Proceedings

Volumn , Issue , 2010, Pages 163-167

  Wang, Rui ^a   Callison Burch, Chris ^b  

^a SAARLAND UNIVERSITY   (Germany)

^b Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AMAZON'S MECHANICAL TURKS; NAMED ENTITIES; RECOGNIZING TEXTUAL ENTAILMENTS;

EID: 84856193485     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

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2. John Burger and Lisa Ferro. 2005. Generating an entailment corpus from news headlines. In Proceedings of the ACL Workshop on Empirical Modeling of Semantic Equivalence and Entailment, pages 49-54, Ann Arbor, Michigan, USA. Association for Computational Linguistics.
3. Robin Cooper, Dick Crouch, Jan Van Eijck, Chris Fox, Johan Van Genabith, Jan Jaspars, Hans Kamp, David Milward, Manfred Pinkal, Massimo Poesio, and Steve Pulman. 1996. Using the framework. Technical Report LRE 62-051 D-16, The FraCaS Consortium.
4. I. Dagan, O. Glickman, and B. Magnini. 2005. The pascal recognising textual entailment challenge. In Proceedings of the PASCAL Challenges Workshop on Recognising Textual Entailment.
5. Jenny Rose Finkel, Trond Grenager, and Christopher Manning. 2005. Incorporating non-local information into information extraction systems by gibbs sampling. In Proceedings of the 43nd Annual Meeting of the Association for Computational Linguistics (ACL 2005), pages 363-370. Association for Computational Linguistics.
6. Andrew Hickl, John Williams, Jeremy Bensley, Kirk Roberts, Bryan Rink, and Ying Shi. 2006. Recognizing textual entailment with lcc's groundhog system. In Proceedings of the Second PASCAL Challenges Workshop.
7. Rion Snow, Brendan O'Connor, Daniel Jurafsky, and Andrew Y. Ng. 2008. Cheap and fast - but is it good? Evaluating non- expert annotations for natural language tasks. In Proceedings of EMNLP.