Search Results for author: Shoichi Naito

Found 4 papers, 3 papers with code

IRAC: A Domain-Specific Annotated Corpus of Implicit Reasoning in Arguments

1 code implementation LREC 2022 Keshav Singh, Naoya Inoue, Farjana Sultana Mim, Shoichi Naito, Kentaro Inui

To solve this problem, we hypothesize that as human reasoning is guided by innate collection of domain-specific knowledge, it might be beneficial to create such a domain-specific corpus for machines.

Exploring Methodologies for Collecting High-Quality Implicit Reasoning in Arguments

1 code implementation EMNLP (ArgMining) 2021 Keshav Singh, Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Kentaro Inui

Annotation of implicit reasoning (i. e., warrant) in arguments is a critical resource to train models in gaining deeper understanding and correct interpretation of arguments.

LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments

no code implementations LREC 2022 Farjana Sultana Mim, Naoya Inoue, Shoichi Naito, Keshav Singh, Kentaro Inui

Attacking is not always straightforward and often comprise complex rhetorical moves such that arguers might agree with a logic of an argument while attacking another logic.

TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation

1 code implementation LREC 2022 Shoichi Naito, Shintaro Sawada, Chihiro Nakagawa, Naoya Inoue, Kenshi Yamaguchi, Iori Shimizu, Farjana Sultana Mim, Keshav Singh, Kentaro Inui

In this paper, we define three criteria that a template set should satisfy: expressiveness, informativeness, and uniqueness, and verify the feasibility of creating a template set that satisfies these criteria as a first trial.

Informativeness slot-filling +1

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