Extracting Semantic Structure from Procedual Texts-Reference-Cited by-同舟云学术

Extracting Semantic Structure from Procedual Texts

Published:2017 Issue:1 Volume:32 Page:E-G24_1-8
ISSN:1346-0714
Container-title:Transactions of the Japanese Society for Artificial Intelligence
language:en
Short-container-title:Transactions of the Japanese Society for Artificial Intelligence

Author:

Maeta Hirokuni¹,Yamakata Yoko²,Mori Shinsuke³

Affiliation:

1. Cybozu, Inc.

2. Graduate School of Information Science and Technology, The University of Tokyo

3. Academic Center for Computing and Media Studies, Kyoto University

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Link

https://www.jstage.jst.go.jp/article/tjsai/32/1/32_E-G24/_pdf

Reference19 articles.

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2. [Berger 96] Berger, A. L., Pietra, S. A. D., and Pietra, V. J. D.: A Maximum Entropy Approach to Natural Language Processing, Computational Linguistics, Vol. 22, No. 1, pp. 39–71 (1996)

3. [Chu 65] Chu, Y.-J. and Liu, T.-H.: On the Shortest Arborescence of a Directed Graph, Science Sinica, Vol. 14, pp. 1396–1400 (1965)

4. [Edmonds 67] Edmonds, J.: Optimum Branchings, Journal Research of the National Bureau of Standards, Vol. 71B, pp. 233–240 (1967)

5. [Flannery 12] Flannery, D., Miyao, Y., Neubig, G., and Mori, S.: A Pointwise Approach to Training Dependency Parsers from Partially Annotated Corpora, Journal of Natural Language Processing, Vol. 19, No. 3, pp. 167–191 (2012)

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