Zobrazeno 1 - 10
of 66
pro vyhledávání: '"Tsutomu Hirao"'
Publikováno v:
Journal of Natural Language Processing. 29:875-900
Autor:
Kevin Duh, Tsutomu Hirao, Akisato Kimura, Katsuhiko Ishiguro, Tomoharu Iwata, Ching-Man Au Yeung
Publikováno v:
Proceedings of the International AAAI Conference on Web and Social Media. 6:447-450
Social media has become ubiquitous. Tweets and other user-generated content have become so abundant that better tools for information organization are needed in order to fully exploit their potential richness. ”Social cu- ration” has recently eme
Publikováno v:
Journal of Natural Language Processing. 28:321-349
Publikováno v:
NAACL-HLT
Most of the previous Rhetorical Structure Theory (RST) parsing methods are based on supervised learning such as neural networks, that require an annotated corpus of sufficient size and quality. However, the RST Discourse Treebank (RST-DT), the benchm
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fc5e0a4c8d4f7a8d7d5b45ee8551be52
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100874371
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100874371
Publikováno v:
Evaluating Information Retrieval and Access Tasks ISBN: 9789811555534
In Japan, the Text Summarization Challenge (TSC), the first text summarization evaluation of its kind, was conducted in 2000–2001 as a part of the NTCIR (NII-NACSIS Test Collection for IR Systems) Workshop. The purpose of the workshop was to facili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fe7a4b4fb70eb56cd1c07a8eae9ecbc
https://doi.org/10.1007/978-981-15-5554-1_3
https://doi.org/10.1007/978-981-15-5554-1_3
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585389
ECCV (6)
ECCV (6)
Dense Video Captioning (DVC) is a challenging task that localizes all events in a short video and describes them with natural language sentences. The main goal of DVC is video story description, that is, to generate a concise video story that support
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::156a8b9cf3c4b689d4fcc48dc9093a6f
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100854351
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100854351
Autor:
Tsutomu Hirao, Akio Watanabe, Hiroki Ikeuchi, Yoichi Matsuo, Keishiro Watanabe, Makoto Morishita, Masaaki Nishino
Publikováno v:
NOMS
With the increase in scale and complexity of ICT systems, their operation increasingly requires automatic recovery from failures. Although it has become possible to automatically detect anomalies and analyze root causes of failures with current metho
Publikováno v:
AAAI
Some downstream NLP tasks exploit discourse dependency trees converted from RST trees. To obtain better discourse dependency trees, we need to improve the accuracy of RST trees at the upper parts of the structures. Thus, we propose a novel neural top
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e2ac02800248516fb20ceb6fd090acf
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100822885
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100822885
Publikováno v:
EMNLP (Findings)
Dividing biomedical abstracts into several segments with rhetorical roles is essential for supporting researchers’ information access in the biomedical domain. Conventional methods have regarded the task as a sequence labeling task based on sequent
Autor:
Masaaki Nagata, Manabu Okumura, Hidetaka Kamigaito, Tsutomu Hirao, Kengo Nakamura, Naoki Kobayashi
Publikováno v:
EMNLP/IJCNLP (1)
Rhetorical Structure Theory (RST) parsing is crucial for many downstream NLP tasks that require a discourse structure for a text. Most of the previous RST parsers have been based on supervised learning approaches. That is, they require an annotated c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9a909dfd99995206d3a3a2723cd0637c
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100822889
http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100822889