Sho Yokoi

According to our database, Sho Yokoi authored at least 32 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport.

Ryo Kishino, Hiroaki Yamagiwa, Ryo Nagata, Sho Yokoi, Hidetoshi Shimodaira

CoRR, 2024

Zipfian Whitening.

Sho Yokoi, Han Bao, Hiroto Kurita, Hidetoshi Shimodaira

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Subspace Representations for Soft Set Operations and Sentence Similarities.

Yoichi Ishibashi, Sho Yokoi, Katsuhito Sudoh, Satoshi Nakamura

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps.

Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Feed-Forward Blocks Control Contextualization in Masked Language Models.

Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

CoRR, 2023

Improving word mover's distance by leveraging self-attention matrix.

Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Norm of Word Embedding Encodes Information Gain.

Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words.

Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Transformer Language Models Handle Word Frequency in Prediction Head.

Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Unbalanced Optimal Transport for Unbalanced Word Alignment.

Yuki Arase, Han Bao, Sho Yokoi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Subspace-based Set Operations on a Pre-trained Word Embedding Space.

Yoichi Ishibashi, Sho Yokoi, Katsuhito Sudoh, Satoshi Nakamura

CoRR, 2022

Why is sentence similarity benchmark not predictive of application-oriented task performance?

Kaori Abe, Sho Yokoi, Tomoyuki Kajiwara, Kentaro Inui

Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems, 2022

2021

Instance-Based Neural Dependency Parsing.

Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui

Trans. Assoc. Comput. Linguistics, 2021

Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings.

Masahiro Naito, Sho Yokoi, Geewook Kim, Hidetoshi Shimodaira

CoRR, 2021

Evaluation of Similarity-based Explanations.

Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui

Proceedings of the 9th International Conference on Learning Representations, 2021

Incorporating Residual and Normalization Layers into Analysis of Masked Language Models.

Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Computationally Efficient Wasserstein Loss for Structured Labels.

Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

2020

Evaluation Criteria for Instance-based Explanation.

Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui

CoRR, 2020

Word Rotator's Distance: Decomposing Vectors Gives Better Representations.

Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui

CoRR, 2020

Utterance Pair Scoring for Noisy Dialogue Data Filtering.

Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui

CoRR, 2020

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

Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

CoRR, 2020

Word Rotator's Distance.

Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Efficient Estimation of Influence of a Training Instance.

Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui

Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

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

Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness.

Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Modeling Event Salience in Narratives via Barthes' Cardinal Functions.

Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition.

Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018

Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions.

Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Unsupervised Learning of Style-sensitive Word Vectors.

Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Link Prediction in Sparse Networks by Incidence Matrix Factorization.

Sho Yokoi, Hiroshi Kajino, Hisashi Kashima

J. Inf. Process., 2017

Learning Co-Substructures by Kernel Dependence Maximization.

Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Link Prediction by Incidence Matrix Factorization.

Sho Yokoi, Hiroshi Kajino, Hisashi Kashima

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016