Sho Yokoi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 43

Top Topics

Unsupervised Learning

Matrix Factorization

Linguistic Expressions

Top Venues

Publications

Yoichi Ishibashi, Sho Yokoi, Katsuhito Sudoh, Satoshi Nakamura
Subspace Representations for Soft Set Operations and Sentence Similarities. NAACL-HLT (2024)
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps. ICLR (2024)
Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira
Improving word mover's distance by leveraging self-attention matrix. EMNLP (Findings) (2023)
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
Transformer Language Models Handle Word Frequency in Prediction Head. ACL (Findings) (2023)
Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words. EMNLP (Findings) (2023)
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
Transformer Language Models Handle Word Frequency in Prediction Head. CoRR (2023)
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
Feed-Forward Blocks Control Contextualization in Masked Language Models. CoRR (2023)
Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words. CoRR (2023)
Yuki Arase, Han Bao, Sho Yokoi
Unbalanced Optimal Transport for Unbalanced Word Alignment. CoRR (2023)
Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira
Norm of Word Embedding Encodes Information Gain. EMNLP (2023)
Yuki Arase, Han Bao, Sho Yokoi
Unbalanced Optimal Transport for Unbalanced Word Alignment. ACL (1) (2023)
Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira
Norm of word embedding encodes information gain. CoRR (2022)
Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira
Improving word mover's distance by leveraging self-attention matrix. CoRR (2022)
Kaori Abe, Sho Yokoi, Tomoyuki Kajiwara, Kentaro Inui
Why is sentence similarity benchmark not predictive of application-oriented task performance? Eval4NLP (2022)
Yoichi Ishibashi, Sho Yokoi, Katsuhito Sudoh, Satoshi Nakamura
Subspace-based Set Operations on a Pre-trained Word Embedding Space. CoRR (2022)
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. CoRR (2021)
Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui
Evaluation of Similarity-based Explanations. ICLR (2021)
Masahiro Naito, Sho Yokoi, Geewook Kim, Hidetoshi Shimodaira
Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings. CoRR (2021)
Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui
Instance-Based Neural Dependency Parsing. CoRR (2021)
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. EMNLP (1) (2021)
Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui
Instance-Based Neural Dependency Parsing. Trans. Assoc. Comput. Linguistics 9 (2021)
Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada
Computationally Efficient Wasserstein Loss for Structured Labels. CoRR (2021)
Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada
Computationally Efficient Wasserstein Loss for Structured Labels. EACL (Student Research Workshop) (2021)
Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui
Word Rotator's Distance: Decomposing Vectors Gives Better Representations. CoRR (2020)
Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui
Word Rotator's Distance. EMNLP (1) (2020)
Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. ACL (2020)
Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui
Efficient Estimation of Influence of a Training Instance. SustaiNLP@EMNLP (2020)
Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui
Evaluation Criteria for Instance-based Explanation. CoRR (2020)
Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition. CoRR (2020)
Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui
Efficient Estimation of Influence of a Training Instance. CoRR (2020)
Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui
Modeling Event Salience in Narratives via Barthes' Cardinal Functions. COLING (2020)
Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui
Modeling Event Salience in Narratives via Barthes' Cardinal Functions. CoRR (2020)
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
Attention Module is Not Only a Weight: Analyzing Transformers with Vector Norms. CoRR (2020)
Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui
Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness. EMNLP (1) (2020)
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
Attention is Not Only a Weight: Analyzing Transformers with Vector Norms. EMNLP (1) (2020)
Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui
Utterance Pair Scoring for Noisy Dialogue Data Filtering. CoRR (2020)
Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui
Unsupervised Learning of Style-sensitive Word Vectors. ACL (2) (2018)
Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. EMNLP (2018)
Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. CoRR (2018)
Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui
Unsupervised Learning of Style-sensitive Word Vectors. CoRR (2018)
Sho Yokoi, Hiroshi Kajino, Hisashi Kashima
Link Prediction in Sparse Networks by Incidence Matrix Factorization. J. Inf. Process. 25 (2017)
Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui
Learning Co-Substructures by Kernel Dependence Maximization. IJCAI (2017)
Sho Yokoi, Hiroshi Kajino, Hisashi Kashima
Link Prediction by Incidence Matrix Factorization. ECAI (2016)