Shoichi Naito

Affiliations:
  • Tohoku University, Sendai, Japan
  • Institute of Physical and Chemical Research (Riken), Wakō, Japan
  • Ricoh Company Ltd., Ebina, Japan


According to our database1, Shoichi Naito authored at least 12 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
LLM DEBATE OPPONENT : Counter-argument Generation focusing on Implicit and Critical Premises.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024
Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Designing Logic Pattern Templates for Counter-Argument Logical Structure Analysis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Teach Me How to Improve My Argumentation Skills: A Survey on Feedback in Argumentation.
CoRR, 2023

Teach Me How to Argue: A Survey on NLP Feedback Systems in Argumentation.
Proceedings of the 10th Workshop on Argument Mining, 2023

2022
IRAC: A Domain-Specific Annotated Corpus of Implicit Reasoning in Arguments.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

TYPIC: A Corpus of Template-Based Diagnostic Comments on Argumentation.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

LPAttack: A Feasible Annotation Scheme for Capturing Logic Pattern of Attacks in Arguments.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021
Annotating Implicit Reasoning in Arguments with Causal Links.
CoRR, 2021

Exploring Methodologies for Collecting High-Quality Implicit Reasoning in Arguments.
Proceedings of the 8th Workshop on Argument Mining, 2021

2019
RICT at the NTCIR-14 QALab-PoliInfo Task.
Proceedings of the 14th NTCIR Conference on Evaluation of Information Access Technologies, 2019

Cue-Phrase-Based Text Segmentation and Optimal Segment Concatenation for the NTCIR-14 QA Lab-PoliInfo Task.
Proceedings of the NII Testbeds and Community for Information Access Research, 2019


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