A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia

Kazuaki Hanawa, Akira Sasaki, Naoaki Okazaki, Kentaro Inui


Anthology ID:
Y17-1045
Volume:
Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation
Month:
November
Year:
2017
Address:
Editor:
Rachel Edita Roxas
Venue:
PACLIC
SIG:
Publisher:
The National University (Phillippines)
Note:
Pages:
336–345
Language:
URL:
https://aclanthology.org/Y17-1045
DOI:
Bibkey:
Cite (ACL):
Kazuaki Hanawa, Akira Sasaki, Naoaki Okazaki, and Kentaro Inui. 2017. A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia. In Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation, pages 336–345. The National University (Phillippines).
Cite (Informal):
A Crowdsourcing Approach for Annotating Causal Relation Instances in Wikipedia (Hanawa et al., PACLIC 2017)
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PDF:
https://preview.aclanthology.org/nschneid-patch-2/Y17-1045.pdf