Coreference Resolution on Math Problem Text in Japanese

Takumi Ito, Takuya Matsuzaki, Satoshi Sato

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Abstract
This paper describes a coreference resolution system for math problem text. Case frame dictionaries and a math taxonomy are utilized for supplying domain knowledge. The system deals with various anaphoric phenomena beyond well-studied entity coreferences.
Anthology ID:
I17-2063
Volume:
Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
Month:
November
Year:
2017
Address:
Taipei, Taiwan
Editors:
Greg Kondrak, Taro Watanabe
Venue:
IJCNLP
SIG:
Publisher:
Asian Federation of Natural Language Processing
Note:
Pages:
373–377
Language:
URL:
https://aclanthology.org/I17-2063
DOI:
Bibkey:
Cite (ACL):
Takumi Ito, Takuya Matsuzaki, and Satoshi Sato. 2017. Coreference Resolution on Math Problem Text in Japanese. In Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers), pages 373–377, Taipei, Taiwan. Asian Federation of Natural Language Processing.
Cite (Informal):
Coreference Resolution on Math Problem Text in Japanese (Ito et al., IJCNLP 2017)
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PDF:
https://preview.aclanthology.org/teach-a-man-to-fish/I17-2063.pdf
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