Classification and Acquisition of Contradictory Event Pairs using Crowdsourcing

Yu Takabatake; Hajime Morita; Daisuke Kawahara; Sadao Kurohashi; Ryuichiro Higashinaka; Yoshihiro Matsuo

Classification and Acquisition of Contradictory Event Pairs using Crowdsourcing

Yu Takabatake, Hajime Morita, Daisuke Kawahara, Sadao Kurohashi, Ryuichiro Higashinaka, Yoshihiro Matsuo

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

We propose a taxonomy of contradictory event pairs and a method for building a database of such pairs. When a dialog system participates in an open-domain conversation with a human, it is important to avoid the generation of utterances that conflict with the context of the dialog. Here, we refer to a pair of events that are not able to co-occur or that are not inconsistent with each other as a contradictory event pair. In this study, we collected contradictory event pairs using crowdsourcing and constructed a taxonomy of such pairs. We also built a large-scale database of Japanese contradictory event pairs for each class using crowdsourcing. This database will be used for consistent utterance generation in dialog systems.

Original language	English
Title of host publication	NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics
Subtitle of host publication	Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015
Publisher	Association for Computational Linguistics (ACL)
Pages	99-107
Number of pages	9
ISBN (Electronic)	9781941643372
Publication status	Published - 2015
Externally published	Yes
Event	3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015 at the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015 - Denver, United States Duration: 2015 Jun 4 → …

Publication series

Name	NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015

Conference

Conference	3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015 at the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015
Country/Territory	United States
City	Denver
Period	15/6/4 → …

ASJC Scopus subject areas

Linguistics and Language
Language and Linguistics

Cite this

Takabatake, Y., Morita, H., Kawahara, D., Kurohashi, S., Higashinaka, R., & Matsuo, Y. (2015). Classification and Acquisition of Contradictory Event Pairs using Crowdsourcing. In NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015 (pp. 99-107). (NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015). Association for Computational Linguistics (ACL).

Classification and Acquisition of Contradictory Event Pairs using Crowdsourcing. / Takabatake, Yu; Morita, Hajime; Kawahara, Daisuke et al.

NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015. Association for Computational Linguistics (ACL), 2015. p. 99-107 (NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Takabatake, Y, Morita, H, Kawahara, D, Kurohashi, S, Higashinaka, R & Matsuo, Y 2015, Classification and Acquisition of Contradictory Event Pairs using Crowdsourcing. in NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015. NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015, Association for Computational Linguistics (ACL), pp. 99-107, 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015 at the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015, Denver, United States, 15/6/4.

Takabatake Y, Morita H, Kawahara D, Kurohashi S, Higashinaka R, Matsuo Y. Classification and Acquisition of Contradictory Event Pairs using Crowdsourcing. In NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015. Association for Computational Linguistics (ACL). 2015. p. 99-107. (NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015).

Takabatake, Yu ; Morita, Hajime ; Kawahara, Daisuke et al. / Classification and Acquisition of Contradictory Event Pairs using Crowdsourcing. NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015. Association for Computational Linguistics (ACL), 2015. pp. 99-107 (NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015).

@inproceedings{cd8c4ffbcd704c909de7a7c50d8c39eb,

title = "Classification and Acquisition of Contradictory Event Pairs using Crowdsourcing",

abstract = "We propose a taxonomy of contradictory event pairs and a method for building a database of such pairs. When a dialog system participates in an open-domain conversation with a human, it is important to avoid the generation of utterances that conflict with the context of the dialog. Here, we refer to a pair of events that are not able to co-occur or that are not inconsistent with each other as a contradictory event pair. In this study, we collected contradictory event pairs using crowdsourcing and constructed a taxonomy of such pairs. We also built a large-scale database of Japanese contradictory event pairs for each class using crowdsourcing. This database will be used for consistent utterance generation in dialog systems.",

author = "Yu Takabatake and Hajime Morita and Daisuke Kawahara and Sadao Kurohashi and Ryuichiro Higashinaka and Yoshihiro Matsuo",

note = "Publisher Copyright: {\textcopyright} 2015 Association for Computational Linguistics; 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015 at the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015 ; Conference date: 04-06-2015",

year = "2015",

language = "English",

series = "NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015",

publisher = "Association for Computational Linguistics (ACL)",

pages = "99--107",

booktitle = "NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics",

}

TY - GEN

T1 - Classification and Acquisition of Contradictory Event Pairs using Crowdsourcing

AU - Takabatake, Yu

AU - Morita, Hajime

AU - Kawahara, Daisuke

AU - Kurohashi, Sadao

AU - Higashinaka, Ryuichiro

AU - Matsuo, Yoshihiro

PY - 2015

Y1 - 2015

N2 - We propose a taxonomy of contradictory event pairs and a method for building a database of such pairs. When a dialog system participates in an open-domain conversation with a human, it is important to avoid the generation of utterances that conflict with the context of the dialog. Here, we refer to a pair of events that are not able to co-occur or that are not inconsistent with each other as a contradictory event pair. In this study, we collected contradictory event pairs using crowdsourcing and constructed a taxonomy of such pairs. We also built a large-scale database of Japanese contradictory event pairs for each class using crowdsourcing. This database will be used for consistent utterance generation in dialog systems.

AB - We propose a taxonomy of contradictory event pairs and a method for building a database of such pairs. When a dialog system participates in an open-domain conversation with a human, it is important to avoid the generation of utterances that conflict with the context of the dialog. Here, we refer to a pair of events that are not able to co-occur or that are not inconsistent with each other as a contradictory event pair. In this study, we collected contradictory event pairs using crowdsourcing and constructed a taxonomy of such pairs. We also built a large-scale database of Japanese contradictory event pairs for each class using crowdsourcing. This database will be used for consistent utterance generation in dialog systems.

UR - http://www.scopus.com/inward/record.url?scp=85084279892&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85084279892&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85084279892

T3 - NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015

SP - 99

EP - 107

BT - NAACL HLT 2015 - 2015 Conference of the North American Chapter of the Association for Computational Linguistics

PB - Association for Computational Linguistics (ACL)

T2 - 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation, EVENTS 2015 at the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2015

Y2 - 4 June 2015

ER -

Classification and Acquisition of Contradictory Event Pairs using Crowdsourcing

Abstract

Publication series

Conference

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this