no code implementations • EMNLP (WNUT) 2020 • Yuta Hayashibe, Kensuke Mitsuzawa
For NLP, sentence boundary detection (SBD) is an essential task to decompose a text into sentences.
no code implementations • LREC 2022 • Yuta Hayashibe
Often both an utterance and its context must be read to understand its intent in a dialog.
no code implementations • Asian Chapter of the Association for Computational Linguistics 2020 • Shin Kanouchi, Masato Neishi, Yuta Hayashibe, Hiroki Ouchi, Naoaki Okazaki
To tackle the challenge, this paper proposes a novel and practical task to explain evidences in recommending hotels given vague requests expressed freely in natural language.
no code implementations • LREC 2020 • Yuta Hayashibe
Second, the corpus contains adversarial examples.
no code implementations • WS 2017 • Daisuke Kawahara, Yuta Hayashibe, Hajime Morita, Sadao Kurohashi
This paper presents a joint model for morphological and dependency analysis based on automatically acquired lexical knowledge.