Search Results for author: Tatsuki Kuribayashi

Found 14 papers, 9 papers with code

Context Limitations Make Neural Language Models More Human-Like

1 code implementation23 May 2022 Tatsuki Kuribayashi, Yohei Oseki, Ana Brassard, Kentaro Inui

Language models (LMs) have been used in cognitive modeling as well as engineering studies -- they compute information-theoretic complexity metrics that simulate humans' cognitive load during reading.

Lower Perplexity is Not Always Human-Like

1 code implementation ACL 2021 Tatsuki Kuribayashi, Yohei Oseki, Takumi Ito, Ryo Yoshida, Masayuki Asahara, Kentaro Inui

Overall, our results suggest that a cross-lingual evaluation will be necessary to construct human-like computational models.

Language Modelling

Langsmith: An Interactive Academic Text Revision System

no code implementations EMNLP 2020 Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui

Despite the current diversity and inclusion initiatives in the academic community, researchers with a non-native command of English still face significant obstacles when writing papers in English.

Attention is Not Only a Weight: Analyzing Transformers with Vector Norms

1 code implementation EMNLP 2020 Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

Attention is a key component of Transformers, which have recently achieved considerable success in natural language processing.

Machine Translation Translation +1

An Empirical Study of Span Representations in Argumentation Structure Parsing

no code implementations ACL 2019 Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui

For several natural language processing (NLP) tasks, span representation design is attracting considerable attention as a promising new technique; a common basis for an effective design has been established.

Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates

1 code implementation WS 2018 Paul Reisert, Naoya Inoue, Tatsuki Kuribayashi, Kentaro Inui

Most of the existing works on argument mining cast the problem of argumentative structure identification as classification tasks (e. g. attack-support relations, stance, explicit premise/claim).

Argument Mining Document Summarization +2

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