Zobrazeno 1 - 10
of 297
pro vyhledávání: '"Hiroyuki Shindo"'
Publikováno v:
Science and Technology of Advanced Materials: Methods, Vol 1, Iss 1, Pp 12-23 (2021)
In this study, we examined machine extraction of polymer data from tables in scientific articles. The extraction system consists of five processes: table extraction, data formatting, polymer name recognition, property specifier identification, and da
Externí odkaz:
https://doaj.org/article/5839c720664f4d99b02abd0ff98c592e
Publikováno v:
IEEE Access, Vol 7, Pp 103570-103582 (2019)
Distant supervision (DS) has become an efficient approach for relation extraction (RE) to alleviate the lack of labeled examples in supervised learning. In this paper, we propose a novel neural RE model that combines a bidirectional gated recurrent u
Externí odkaz:
https://doaj.org/article/676970fd9a2a4506a8df32f3226bb98a
Publikováno v:
Transactions of the Association for Computational Linguistics, Vol 5 (2021)
Externí odkaz:
https://doaj.org/article/5ba684b8427549cfa0a4ca0951d406e0
Publikováno v:
International Journal of Technology, Vol 8, Iss 5, Pp 957-967 (2017)
In languages with fixed word orders, syntactic information is useful when solving natural language processing (NLP) problems. In languages like Indonesian, however, which has a relatively free word order, the usefulness of syntactic information h
Externí odkaz:
https://doaj.org/article/491c2a4f8b6b456fa3e8d93367b93ba2
Publikováno v:
International Journal of Technology, Vol 8, Iss 3, Pp 549-558 (2017)
Large-scale annotated data written by second language learners are not always available for low-resource languages such as Indonesian. To cope with data scarcity, it is important to generate ‘learner-like’ artificial error sentences when the avai
Externí odkaz:
https://doaj.org/article/179aedd5f57948d69bc8c20a84d1053d
Autor:
Kozo Takeuchi, Keita Sakamoto, Kazuki Yukumatsu, Kyota Watanabe, Yuta Tsuchiya, Takashi Kato, Hideya Matsuyama, Akinori Takeyama, Takeshi Ohshima, Satoshi Kuboyama, Hiroyuki Shindo
Publikováno v:
IEEE Transactions on Nuclear Science. 69:1833-1839
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::29273aa201941548ee5e27be48bb3b89
https://doi.org/10.1109/tns.2022.3188993
https://doi.org/10.1109/tns.2022.3188993
Autor:
Gian Francesco Lorusso, Dieter Van Den Heuvel, Mohamed Zidan, Alain Moussa, Christophe Beral, Anne-Laure Charley, Danilo De Simone, Anuja De Silva, Elisseos Verveniotis, Ali Haider, Tsuyoshi Kondo, hiroyuki shindo, yasushi ebizuka, miki isawa
Publikováno v:
Metrology, Inspection, and Process Control XXXVII.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::213d302b05d4ba0f89b45b5dc70ef7f0
https://doi.org/10.1117/12.2658280
https://doi.org/10.1117/12.2658280
Publikováno v:
ACL/IJCNLP (1)
This paper presents a novel method for nested named entity recognition. As a layered method, our method extends the prior second-best path recognition method by explicitly excluding the influence of the best path. Our method maintains a set of hidden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cfc74786100fe77958af45ebc7768c8
https://doi.org/10.5715/jnlp.29.23
https://doi.org/10.5715/jnlp.29.23
Publikováno v:
IEEE Transactions on Affective Computing. 12:682-691
Textual emotion detection is a challenge in computational linguistics and affective computing study as it involves the discovery of all associated emotions expressed within a given piece of text. It becomes an even more difficult problem when applied
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f435da1e9d56078db950defb711bcc7
https://doi.org/10.1109/taffc.2018.2885304
https://doi.org/10.1109/taffc.2018.2885304
Publikováno v:
Journal of Natural Language Processing. 28:965-994
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::09c76f8e81957391815fd7dca4dbb0e1
https://doi.org/10.5715/jnlp.28.965
https://doi.org/10.5715/jnlp.28.965