Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Tomohide Shibata"'
Publikováno v:
Journal of Natural Language Processing. 30:63-87
Autor:
Hiroshi Matsuda, Tomohide Shibata, Daisuke Kawahara, Sorami Hisamoto, Takahiro Kubo, Masayuki Asahara
Publikováno v:
Journal of Natural Language Processing. 29:1023-1029
Publikováno v:
COLING
In community-based question answering (CQA) platforms, it takes time for a user to get useful information from among many answers. Although one solution is an answer ranking method, the user still needs to read through the top-ranked answers carefull
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::283bb359db1f7f92757fe62340bfa50f
Publikováno v:
SIGIR
Frequently Asked Question (FAQ) retrieval is an important task where the objective is to retrieve an appropriate Question-Answer (QA) pair from a database based on a user's query. We propose a FAQ retrieval system that considers the similarity betwee
Publikováno v:
MRQA@EMNLP
To improve the accuracy of predicate-argument structure (PAS) analysis, large-scale training data and knowledge for PAS analysis are indispensable. We focus on a specific domain, specifically Japanese blogs on driving, and construct two wide-coverage
Autor:
Tomohide Shibata, Sadao Kurohashi, Masaaki Nagata, Katsuhito Sudoh, Xun Wang, Daisuke Kawahara
Publikováno v:
Computación y Sistemas. 21
This paper introduces a novel neural network model for question answering, the entity-based memory network. It enhances neural networks’ ability of representing and calculating information over along period by keeping records of entities containedi
Autor:
Tomohide Shibata, Sadao Kurohashi
Publikováno v:
ACL (1)
Predicate argument structure analysis is a task of identifying structured events. To improve this field, we need to identify a salient entity, which cannot be identified without performing coreference resolution and predicate argument structure analy
Publikováno v:
Journal of Natural Language Processing. 20:539-561
Autor:
Tomohide Shibata, Sadao Kurohashi
Publikováno v:
ACM Transactions on Asian Language Information Processing. 11:1-23
This article proposes a predicate-argument structure based Textual Entailment Recognition system exploiting wide-coverage lexical knowledge. Different from conventional machine learning approaches where several features obtained from linguistic analy
Publikováno v:
Signals and Communication Technology ISBN: 9783319218335
IWSDS
IWSDS
This paper presents a chat-like conversational system, and that generates a reply by selecting an appropriate reply generating module. Such modules consist in selecting a sentence from an article of Web news, retrieving a definition sentence in Wikip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ace53b0eb1b4f17dcb6c35f6e1a7ad3e
https://doi.org/10.1007/978-3-319-21834-2_6
https://doi.org/10.1007/978-3-319-21834-2_6