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Journal Articles
- 2021
[j2]Hiroki Ouchi, Jun Suzuki
, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui:
Instance-Based Neural Dependency Parsing. Trans. Assoc. Comput. Linguistics 9: 1493-1507 (2021)- 2017
- [j1]Sho Yokoi, Hiroshi Kajino, Hisashi Kashima:
Link Prediction in Sparse Networks by Incidence Matrix Factorization. J. Inf. Process. 25: 477-485 (2017)
Conference and Workshop Papers
- 2024
- [c21]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps. ICLR 2024 - [c20]Yoichi Ishibashi, Sho Yokoi, Katsuhito Sudoh, Satoshi Nakamura:
Subspace Representations for Soft Set Operations and Sentence Similarities. NAACL-HLT 2024: 3512-3524 - 2023
- [c19]Yuki Arase, Han Bao, Sho Yokoi:
Unbalanced Optimal Transport for Unbalanced Word Alignment. ACL (1) 2023: 3966-3986 - [c18]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Transformer Language Models Handle Word Frequency in Prediction Head. ACL (Findings) 2023: 4523-4535 - [c17]Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira:
Norm of Word Embedding Encodes Information Gain. EMNLP 2023: 2108-2130 - [c16]Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui:
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words. EMNLP (Findings) 2023: 10932-10947 - [c15]Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira:
Improving word mover's distance by leveraging self-attention matrix. EMNLP (Findings) 2023: 11160-11183 - 2022
- [c14]Kaori Abe, Sho Yokoi, Tomoyuki Kajiwara, Kentaro Inui:
Why is sentence similarity benchmark not predictive of application-oriented task performance? Eval4NLP 2022: 70-87 - 2021
- [c13]Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada:
Computationally Efficient Wasserstein Loss for Structured Labels. EACL (Student Research Workshop) 2021: 1-7 - [c12]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. EMNLP (1) 2021: 4547-4568 - [c11]Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui:
Evaluation of Similarity-based Explanations. ICLR 2021 - 2020
- [c10]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: 6452-6459 - [c9]Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui:
Modeling Event Salience in Narratives via Barthes' Cardinal Functions. COLING 2020: 1784-1794 - [c8]Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Efficient Estimation of Influence of a Training Instance. SustaiNLP@EMNLP 2020: 41-47 - [c7]Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness. EMNLP (1) 2020: 941-958 - [c6]Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui:
Word Rotator's Distance. EMNLP (1) 2020: 2944-2960 - [c5]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Attention is Not Only a Weight: Analyzing Transformers with Vector Norms. EMNLP (1) 2020: 7057-7075 - 2018
- [c4]Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui:
Unsupervised Learning of Style-sensitive Word Vectors. ACL (2) 2018: 572-578 - [c3]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: 1763-1775 - 2017
- [c2]Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui:
Learning Co-Substructures by Kernel Dependence Maximization. IJCAI 2017: 3329-3335 - 2016
- [c1]Sho Yokoi, Hiroshi Kajino, Hisashi Kashima:
Link Prediction by Incidence Matrix Factorization. ECAI 2016: 1730-1731
Informal and Other Publications
- 2023
- [i20]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Feed-Forward Blocks Control Contextualization in Masked Language Models. CoRR abs/2302.00456 (2023) - [i19]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Transformer Language Models Handle Word Frequency in Prediction Head. CoRR abs/2305.18294 (2023) - [i18]Yuki Arase, Han Bao, Sho Yokoi:
Unbalanced Optimal Transport for Unbalanced Word Alignment. CoRR abs/2306.04116 (2023) - [i17]Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui:
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words. CoRR abs/2310.15921 (2023) - 2022
- [i16]Yoichi Ishibashi, Sho Yokoi, Katsuhito Sudoh, Satoshi Nakamura:
Subspace-based Set Operations on a Pre-trained Word Embedding Space. CoRR abs/2210.13034 (2022) - [i15]Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira:
Improving word mover's distance by leveraging self-attention matrix. CoRR abs/2211.06229 (2022) - [i14]Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira:
Norm of word embedding encodes information gain. CoRR abs/2212.09663 (2022) - 2021
- [i13]Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada:
Computationally Efficient Wasserstein Loss for Structured Labels. CoRR abs/2103.00899 (2021) - [i12]Masahiro Naito, Sho Yokoi, Geewook Kim, Hidetoshi Shimodaira:
Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings. CoRR abs/2105.08585 (2021) - [i11]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. CoRR abs/2109.07152 (2021) - [i10]Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui:
Instance-Based Neural Dependency Parsing. CoRR abs/2109.13497 (2021) - 2020
- [i9]Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui:
Attention Module is Not Only a Weight: Analyzing Transformers with Vector Norms. CoRR abs/2004.10102 (2020) - [i8]Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Utterance Pair Scoring for Noisy Dialogue Data Filtering. CoRR abs/2004.14008 (2020) - [i7]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 abs/2004.14514 (2020) - [i6]Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui:
Word Rotator's Distance: Decomposing Vectors Gives Better Representations. CoRR abs/2004.15003 (2020) - [i5]Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui:
Evaluation Criteria for Instance-based Explanation. CoRR abs/2006.04528 (2020) - [i4]Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui:
Modeling Event Salience in Narratives via Barthes' Cardinal Functions. CoRR abs/2011.01785 (2020) - [i3]Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Efficient Estimation of Influence of a Training Instance. CoRR abs/2012.04207 (2020) - 2018
- [i2]Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui:
Unsupervised Learning of Style-sensitive Word Vectors. CoRR abs/1805.05581 (2018) - [i1]Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui:
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions. CoRR abs/1809.00800 (2018)
Coauthor Index
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