Sentence Boundary Detection on Line Breaks in Japanese

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.

Boundary Detection Sentence

Self-Contained Utterance Description Corpus for Japanese Dialog

no code implementations • LREC 2022 • Yuta Hayashibe

Often both an utterance and its context must be read to understand its intent in a dialog.

You May Like This Hotel Because ...: Identifying Evidence for Explainable Recommendations

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.

Explainable Recommendation Sentence

Japanese Realistic Textual Entailment Corpus

no code implementations • LREC 2020 • Yuta Hayashibe

Second, the corpus contains adversarial examples.

Language Modelling Natural Language Inference

Automatically Acquired Lexical Knowledge Improves Japanese Joint Morphological and Dependency Analysis

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.

Lemmatization Morphological Analysis +2

NAIST at 2013 CoNLL Grammatical Error Correction Shared Task

no code implementations • WS 2013 • Ippei Yoshimoto, Tomoya Kose, Kensuke Mitsuzawa, Keisuke Sakaguchi, Tomoya Mizumoto, Yuta Hayashibe, Mamoru Komachi, Yuji Matsumoto

Grammatical Error Correction Language Modelling +1

NAIST at the NLI 2013 Shared Task

no code implementations • WS 2013 • Tomoya Mizumoto, Yuta Hayashibe, Keisuke Sakaguchi, Mamoru Komachi, Yuji Matsumoto

Grammatical Error Detection Language Identification

phloat : Integrated Writing Environment for ESL learners

no code implementations • WS 2012 • Yuta Hayashibe, Masato Hagiwara, Satoshi Sekine

The Effect of Learner Corpus Size in Grammatical Error Correction of ESL Writings

no code implementations • COLING 2012 • Tomoya Mizumoto, Yuta Hayashibe, Mamoru Komachi, Masaaki Nagata, Yuji Matsumoto

Grammatical Error Correction Machine Translation

NAIST at the HOO 2012 Shared Task

no code implementations • WS 2012 • Keisuke Sakaguchi, Yuta Hayashibe, Shuhei Kondo, Lis Kanashiro, Tomoya Mizumoto, Mamoru Komachi, Yuji Matsumoto

Dependency Parsing Grammatical Error Detection +2