Monitoring geographical entities with temporal awareness in tweets

Koji Matsuda; Mizuki Sango; Naoaki Okazaki; Kentaro Inui

doi:10.1007/978-3-319-77116-8_28

Monitoring geographical entities with temporal awareness in tweets

Koji Matsuda, Mizuki Sango, Naoaki Okazaki, Kentaro Inui

INF - System Information Sciences

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

Abstract

To extract real-time information referring to a specific place from social network service texts such as tweets, it is necessary to analyze the temporal semantics of the reference. To solve this problem, we created a corpus with multiple annotations for more than 10,000 tweets using crowdsourcing. We constructed an automatic analysis model based on multiple neural networks and compared their characteristics. Our dataset and codes are released in our website (http://www.cl.ecei.tohoku.ac.jp/~matsuda/TA_corpus/).

Original language	English
Title of host publication	Computational Linguistics and Intelligent Text Processing - 18th International Conference, CICLing 2017, Revised Selected Papers
Editors	Alexander Gelbukh
Publisher	Springer Verlag
Pages	379-390
Number of pages	12
ISBN (Print)	9783319771151
DOIs	https://doi.org/10.1007/978-3-319-77116-8_28
Publication status	Published - 2018
Event	18th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2017 - Budapest, Hungary Duration: 2017 Apr 17 → 2017 Apr 23

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10762 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Other

Other	18th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2017
Country/Territory	Hungary
City	Budapest
Period	17/4/17 → 17/4/23

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/978-3-319-77116-8_28

Cite this

Matsuda, K., Sango, M., Okazaki, N., & Inui, K. (2018). Monitoring geographical entities with temporal awareness in tweets. In A. Gelbukh (Ed.), Computational Linguistics and Intelligent Text Processing - 18th International Conference, CICLing 2017, Revised Selected Papers (pp. 379-390). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10762 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-77116-8_28

Monitoring geographical entities with temporal awareness in tweets. / Matsuda, Koji; Sango, Mizuki; Okazaki, Naoaki et al.

Computational Linguistics and Intelligent Text Processing - 18th International Conference, CICLing 2017, Revised Selected Papers. ed. / Alexander Gelbukh. Springer Verlag, 2018. p. 379-390 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10762 LNCS).

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

Matsuda, K, Sango, M, Okazaki, N & Inui, K 2018, Monitoring geographical entities with temporal awareness in tweets. in A Gelbukh (ed.), Computational Linguistics and Intelligent Text Processing - 18th International Conference, CICLing 2017, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10762 LNCS, Springer Verlag, pp. 379-390, 18th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2017, Budapest, Hungary, 17/4/17. https://doi.org/10.1007/978-3-319-77116-8_28

Matsuda K, Sango M, Okazaki N, Inui K. Monitoring geographical entities with temporal awareness in tweets. In Gelbukh A, editor, Computational Linguistics and Intelligent Text Processing - 18th International Conference, CICLing 2017, Revised Selected Papers. Springer Verlag. 2018. p. 379-390. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-77116-8_28

Matsuda, Koji ; Sango, Mizuki ; Okazaki, Naoaki et al. / Monitoring geographical entities with temporal awareness in tweets. Computational Linguistics and Intelligent Text Processing - 18th International Conference, CICLing 2017, Revised Selected Papers. editor / Alexander Gelbukh. Springer Verlag, 2018. pp. 379-390 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "To extract real-time information referring to a specific place from social network service texts such as tweets, it is necessary to analyze the temporal semantics of the reference. To solve this problem, we created a corpus with multiple annotations for more than 10,000 tweets using crowdsourcing. We constructed an automatic analysis model based on multiple neural networks and compared their characteristics. Our dataset and codes are released in our website (http://www.cl.ecei.tohoku.ac.jp/~matsuda/TA_corpus/).",

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Monitoring geographical entities with temporal awareness in tweets

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