WISDOM X, DISAANA and D-SUMM: Large-scale NLP Systems for Analyzing Textual Big Data

Junta Mizuno, Masahiro Tanaka, Kiyonori Ohtake, Jong-Hoon Oh, Julien Kloetzer, Chikara Hashimoto, Kentaro Torisawa


Abstract
We demonstrate our large-scale NLP systems: WISDOM X, DISAANA, and D-SUMM. WISDOM X provides numerous possible answers including unpredictable ones to widely diverse natural language questions to provide deep insights about a broad range of issues. DISAANA and D-SUMM enable us to assess the damage caused by large-scale disasters in real time using Twitter as an information source.
Anthology ID:
C16-2055
Volume:
Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations
Month:
December
Year:
2016
Address:
Osaka, Japan
Editor:
Hideo Watanabe
Venue:
COLING
SIG:
Publisher:
The COLING 2016 Organizing Committee
Note:
Pages:
263–267
Language:
URL:
https://aclanthology.org/C16-2055
DOI:
Bibkey:
Cite (ACL):
Junta Mizuno, Masahiro Tanaka, Kiyonori Ohtake, Jong-Hoon Oh, Julien Kloetzer, Chikara Hashimoto, and Kentaro Torisawa. 2016. WISDOM X, DISAANA and D-SUMM: Large-scale NLP Systems for Analyzing Textual Big Data. In Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations, pages 263–267, Osaka, Japan. The COLING 2016 Organizing Committee.
Cite (Informal):
WISDOM X, DISAANA and D-SUMM: Large-scale NLP Systems for Analyzing Textual Big Data (Mizuno et al., COLING 2016)
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PDF:
https://preview.aclanthology.org/nschneid-patch-4/C16-2055.pdf