Tatsuki Kuribayashi

Orcid: 0000-0001-7762-5576

According to our database1, Tatsuki Kuribayashi authored at least 25 papers between 2018 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Emergent Word Order Universals from Cognitively-Motivated Language Models.
CoRR, 2024

2023
Psychometric Predictive Power of Large Language Models.
CoRR, 2023

Does Vision Accelerate Hierarchical Generalization of Neural Language Learners?
CoRR, 2023

Feed-Forward Blocks Control Contextualization in Masked Language Models.
CoRR, 2023

Use of an AI-powered Rewriting Support Software in Context with Other Tools: A Study of Non-Native English Speakers.
Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, 2023

Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning?
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Empirical Investigation of Neural Symbolic Reasoning Strategies.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Second Language Acquisition of Neural Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Transformer Language Models Handle Word Frequency in Prediction Head.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Context Limitations Make Neural Language Models More Human-Like.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Topicalization in Language Models: A Case Study on Japanese.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021
Instance-Based Neural Dependency Parsing.
Trans. Assoc. Comput. Linguistics, 2021

Incorporating Residual and Normalization Layers into Analysis of Masked Language Models.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Lower Perplexity is Not Always Human-Like.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Attention Module is Not Only a Weight: Analyzing Transformers with Vector Norms.
CoRR, 2020

Attention is Not Only a Weight: Analyzing Transformers with Vector Norms.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Langsmith: An Interactive Academic Text Revision System.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Modeling Event Salience in Narratives via Barthes' Cardinal Functions.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

TEASPN: Framework and Protocol for Integrated Writing Assistance Environments.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

An Empirical Study of Span Representations in Argumentation Structure Parsing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Feasible Annotation Scheme for Capturing Policy Argument Reasoning using Argument Templates.
Proceedings of the 5th Workshop on Argument Mining, 2018


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