Link Prediction by Incidence Matrix Factorization. - Sho Yokoi; Hiroshi Kajino; Hisashi Kashima (ECAI, 2016)

Learning Co-Substructures by Kernel Dependence Maximization. - Sho Yokoi; Daichi Mochihashi; Ryo Takahashi; Naoaki Okazaki; Kentaro Inui (IJCAI, 2017)

Link Prediction in Sparse Networks by Incidence Matrix Factorization. - Sho Yokoi; Hiroshi Kajino; Hisashi Kashima (J. Inf. Process., 2017)

Unsupervised Learning of Style-sensitive Word Vectors. - Reina Akama; Kento Watanabe; Sho Yokoi; Sosuke Kobayashi; Kentaro Inui (ACL (2), 2018)

Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. - Sho Yokoi; Sosuke Kobayashi; Kenji Fukumizu; Jun Suzuki 001; Kentaro Inui (EMNLP, 2018)

Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. - Hiroki Ouchi; Jun Suzuki 001; Sosuke Kobayashi; Sho Yokoi; Tatsuki Kuribayashi; Ryuto Konno; Kentaro Inui (ACL, 2020)

Modeling Event Salience in Narratives via Barthes' Cardinal Functions. - Takaki Otake; Sho Yokoi; Naoya Inoue; Ryo Takahashi; Tatsuki Kuribayashi; Kentaro Inui (COLING, 2020)

Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness. - Reina Akama; Sho Yokoi; Jun Suzuki 001; Kentaro Inui (EMNLP (1), 2020)

Attention is Not Only a Weight: Analyzing Transformers with Vector Norms. - Goro Kobayashi; Tatsuki Kuribayashi; Sho Yokoi; Kentaro Inui (EMNLP (1), 2020)

Efficient Estimation of Influence of a Training Instance. - Sosuke Kobayashi; Sho Yokoi; Jun Suzuki 001; Kentaro Inui (SustaiNLP@EMNLP, 2020)

Word Rotator's Distance. - Sho Yokoi; Ryo Takahashi; Reina Akama; Jun Suzuki 001; Kentaro Inui (EMNLP (1), 2020)

Attention Module is Not Only a Weight: Analyzing Transformers with Vector Norms. - Goro Kobayashi; Tatsuki Kuribayashi; Sho Yokoi; Kentaro Inui (CoRR, 2020)

Utterance Pair Scoring for Noisy Dialogue Data Filtering. - Reina Akama; Sho Yokoi; Jun Suzuki 001; Kentaro Inui (CoRR, 2020)

Word Rotator's Distance: Decomposing Vectors Gives Better Representations. - Sho Yokoi; Ryo Takahashi; Reina Akama; Jun Suzuki 001; Kentaro Inui (CoRR, 2020)

Evaluation Criteria for Instance-based Explanation. - Kazuaki Hanawa; Sho Yokoi; Satoshi Hara 001; Kentaro Inui (CoRR, 2020)

Computationally Efficient Wasserstein Loss for Structured Labels. - Ayato Toyokuni; Sho Yokoi; Hisashi Kashima; Makoto Yamada (EACL (Student Research Workshop), 2021)

Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. - Goro Kobayashi; Tatsuki Kuribayashi; Sho Yokoi; Kentaro Inui (EMNLP (1), 2021)

Evaluation of Similarity-based Explanations. - Kazuaki Hanawa; Sho Yokoi; Satoshi Hara 001; Kentaro Inui (ICLR, 2021)

Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings. - Masahiro Naito; Sho Yokoi; Geewook Kim; Hidetoshi Shimodaira (CoRR, 2021)

Instance-Based Neural Dependency Parsing. - Hiroki Ouchi; Jun Suzuki 001; Sosuke Kobayashi; Sho Yokoi; Tatsuki Kuribayashi; Masashi Yoshikawa; Kentaro Inui (Trans. Assoc. Comput. Linguistics, 2021)

Why is sentence similarity benchmark not predictive of application-oriented task performance? - Kaori Abe; Sho Yokoi; Tomoyuki Kajiwara; Kentaro Inui (Eval4NLP, 2022)

Subspace-based Set Operations on a Pre-trained Word Embedding Space. - Yoichi Ishibashi; Sho Yokoi; Katsuhito Sudoh; Satoshi Nakamura 001 (CoRR, 2022)

Unbalanced Optimal Transport for Unbalanced Word Alignment. - Yuki Arase; Han Bao 002; Sho Yokoi (ACL (1), 2023)

Transformer Language Models Handle Word Frequency in Prediction Head. - Goro Kobayashi; Tatsuki Kuribayashi; Sho Yokoi; Kentaro Inui (ACL (Findings), 2023)

Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words. - Hiroto Kurita; Goro Kobayashi; Sho Yokoi; Kentaro Inui (EMNLP (Findings), 2023)

Norm of Word Embedding Encodes Information Gain. - Momose Oyama; Sho Yokoi; Hidetoshi Shimodaira (EMNLP, 2023)

Improving word mover's distance by leveraging self-attention matrix. - Hiroaki Yamagiwa; Sho Yokoi; Hidetoshi Shimodaira (EMNLP (Findings), 2023)

Feed-Forward Blocks Control Contextualization in Masked Language Models. - Goro Kobayashi; Tatsuki Kuribayashi; Sho Yokoi; Kentaro Inui (CoRR, 2023)

Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps. - Goro Kobayashi; Tatsuki Kuribayashi; Sho Yokoi; Kentaro Inui (ICLR, 2024)

Subspace Representations for Soft Set Operations and Sentence Similarities. - Yoichi Ishibashi; Sho Yokoi; Katsuhito Sudoh; Satoshi Nakamura 001 (NAACL-HLT, 2024)

Zipfian Whitening. - Sho Yokoi; Han Bao 002; Hiroto Kurita; Hidetoshi Shimodaira (NeurIPS, 2024)

Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport. - Ryo Kishino; Hiroaki Yamagiwa; Ryo Nagata; Sho Yokoi; Hidetoshi Shimodaira (ACL (1), 2025)

On Entity Identification in Language Models. - Masaki Sakata; Benjamin Heinzerling; Sho Yokoi; Takumi Ito; Kentaro Inui (ACL (Findings), 2025)

SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches. - Hiroyuki Deguchi 002; Go Kamoda; Yusuke Matsushita 002; Chihiro Taguchi; Kohei Suenaga; Masaki Waga; Sho Yokoi (ICLR, 2025)

TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models. - Makoto Shing; Kou Misaki; Han Bao; Sho Yokoi; Takuya Akiba (ICLR, 2025)