2 code implementations • LREC 2022 • Kentaro Kurihara, Daisuke Kawahara, Tomohide Shibata
We build a Japanese NLU benchmark, JGLUE, from scratch without translation to measure the general NLU ability in Japanese.
no code implementations • COLING 2020 • Shogo Fujita, Tomohide Shibata, Manabu Okumura
In community-based question answering (CQA) platforms, it takes time for a user to get useful information from among many answers.
no code implementations • WS 2019 • Norio Takahashi, Tomohide Shibata, Daisuke Kawahara, Sadao Kurohashi
To improve the accuracy of predicate-argument structure (PAS) analysis, large-scale training data and knowledge for PAS analysis are indispensable.
1 code implementation • 8 May 2019 • Wataru Sakata, Tomohide Shibata, Ribeka Tanaka, Sadao Kurohashi
On the other hand, the relevance between the query and answer can be learned by using QA pairs in a FAQ database.
no code implementations • ACL 2018 • Tomohide Shibata, Sadao Kurohashi
Our experimental results demonstrate the proposed method can improve the performance of the inter-sentential zero anaphora resolution drastically, which is a notoriously difficult task in predicate argument structure analysis.
no code implementations • 12 Dec 2016 • Xun Wang, Katsuhito Sudoh, Masaaki Nagata, Tomohide Shibata, Daisuke Kawahara, Sadao Kurohashi
This paper introduces a novel neural network model for question answering, the \emph{entity-based memory network}.
no code implementations • LREC 2014 • Tomohide Shibata, Shotaro Kohama, Sadao Kurohashi
This paper presents a large scale database of strongly-related events in Japanese, which has been acquired with our proposed method (Shibata and Kurohashi, 2011).
no code implementations • LREC 2014 • Tomoko Izumi, Tomohide Shibata, Hisako Asano, Yoshihiro Matsuo, Sadao Kurohashi
We construct a large corpus of Japanese predicate phrases for synonym-antonym relations.