Sho Yokoi

55 papers A* 9A 1B 1Journal 29Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
SoftMatcha 2: A Fast and Soft Pattern Matcher for Trillion-Scale Corpora.
CoRR
Masataka Yoneda, Yusuke Matsushita, Go Kamoda, Kohei Suenaga, Takuya Akiba, Masaki Waga, Sho Yokoi
2025 — conf
On Entity Identification in Language Models.
ACL (Findings)
Masaki Sakata, Benjamin Heinzerling, Sho Yokoi, Takumi Ito, Kentaro Inui
2025 J jnl
On Entity Identification in Language Models.
CoRR
Masaki Sakata, Benjamin Heinzerling, Sho Yokoi, Takumi Ito, Kentaro Inui
2025 — conf
Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport.
ACL (1)
Ryo Kishino, Hiroaki Yamagiwa, Ryo Nagata, Sho Yokoi, Hidetoshi Shimodaira
2025 A* conf
SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches.
ICLR
Hiroyuki Deguchi, Go Kamoda, Yusuke Matsushita, Chihiro Taguchi, Kohei Suenaga, Masaki Waga, Sho Yokoi
2025 J jnl
SoftMatcha: A Soft and Fast Pattern Matcher for Billion-Scale Corpus Searches.
CoRR
Hiroyuki Deguchi, Go Kamoda, Yusuke Matsushita, Chihiro Taguchi, Kohei Suenaga, Masaki Waga, Sho Yokoi
2025 A* conf
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models.
ICLR
Makoto Shing, Kou Misaki, Han Bao, Sho Yokoi, Takuya Akiba
2025 J jnl
TAID: Temporally Adaptive Interpolated Distillation for Efficient Knowledge Transfer in Language Models.
CoRR
Makoto Shing, Kou Misaki, Han Bao, Sho Yokoi, Takuya Akiba
2024 A* conf
Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps.
ICLR
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
2024 J jnl
Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport.
CoRR
Ryo Kishino, Hiroaki Yamagiwa, Ryo Nagata, Sho Yokoi, Hidetoshi Shimodaira
2024 — conf
Subspace Representations for Soft Set Operations and Sentence Similarities.
NAACL-HLT
Yoichi Ishibashi, Sho Yokoi, Katsuhito Sudoh, Satoshi Nakamura
2024 A* conf
Zipfian Whitening.
NeurIPS
Sho Yokoi, Han Bao, Hiroto Kurita, Hidetoshi Shimodaira
2024 J jnl
Zipfian Whitening.
CoRR
Sho Yokoi, Han Bao, Hiroto Kurita, Hidetoshi Shimodaira
2024 J jnl
🚀 NLP Colloquium.
J. Nat. Lang. Process.
Ayana Niwa, Sho Yokoi, Junya Takayama, Itsumi Saito
2023 — conf
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words.
EMNLP (Findings)
Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui
2023 J jnl
Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words.
CoRR
Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui
2023 J jnl
Feed-Forward Blocks Control Contextualization in Masked Language Models.
CoRR
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
2023 — conf
Improving word mover's distance by leveraging self-attention matrix.
EMNLP (Findings)
Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira
2023 A* conf
Norm of Word Embedding Encodes Information Gain.
EMNLP
Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira
2023 — conf
Transformer Language Models Handle Word Frequency in Prediction Head.
ACL (Findings)
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
2023 J jnl
Transformer Language Models Handle Word Frequency in Prediction Head.
CoRR
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
2023 — conf
Unbalanced Optimal Transport for Unbalanced Word Alignment.
ACL (1)
Yuki Arase, Han Bao, Sho Yokoi
2023 J jnl
Unbalanced Optimal Transport for Unbalanced Word Alignment.
CoRR
Yuki Arase, Han Bao, Sho Yokoi
2022 J jnl
Improving word mover's distance by leveraging self-attention matrix.
CoRR
Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira
2022 J jnl
Norm of word embedding encodes information gain.
CoRR
Momose Oyama, Sho Yokoi, Hidetoshi Shimodaira
2022 J jnl
Subspace-based Set Operations on a Pre-trained Word Embedding Space.
CoRR
Yoichi Ishibashi, Sho Yokoi, Katsuhito Sudoh, Satoshi Nakamura
2022 — conf
Why is sentence similarity benchmark not predictive of application-oriented task performance?
Eval4NLP
Kaori Abe, Sho Yokoi, Tomoyuki Kajiwara, Kentaro Inui
2021 — conf
Computationally Efficient Wasserstein Loss for Structured Labels.
EACL (Student Research Workshop)
Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada
2021 J jnl
Computationally Efficient Wasserstein Loss for Structured Labels.
CoRR
Ayato Toyokuni, Sho Yokoi, Hisashi Kashima, Makoto Yamada
2021 A* conf
Evaluation of Similarity-based Explanations.
ICLR
Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui
2021 — conf
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models.
EMNLP (1)
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
2021 J jnl
Incorporating Residual and Normalization Layers into Analysis of Masked Language Models.
CoRR
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
2021 J jnl
Instance-Based Neural Dependency Parsing.
CoRR
Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui
2021 J jnl
Instance-Based Neural Dependency Parsing.
Trans. Assoc. Comput. Linguistics
Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Masashi Yoshikawa, Kentaro Inui
2021 J jnl
Revisiting Additive Compositionality: AND, OR and NOT Operations with Word Embeddings.
CoRR
Masahiro Naito, Sho Yokoi, Geewook Kim, Hidetoshi Shimodaira
2020 J jnl
Attention Module is Not Only a Weight: Analyzing Transformers with Vector Norms.
CoRR
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
2020 — conf
Attention is Not Only a Weight: Analyzing Transformers with Vector Norms.
EMNLP (1)
Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
2020 — conf
Efficient Estimation of Influence of a Training Instance.
SustaiNLP@EMNLP
Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui
2020 J jnl
Efficient Estimation of Influence of a Training Instance.
CoRR
Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui
2020 J jnl
Evaluation Criteria for Instance-based Explanation.
CoRR
Kazuaki Hanawa, Sho Yokoi, Satoshi Hara, Kentaro Inui
2020 — conf
Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness.
EMNLP (1)
Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui
2020 A* conf
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition.
ACL
Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui
2020 J jnl
Instance-Based Learning of Span Representations: A Case Study through Named Entity Recognition.
CoRR
Hiroki Ouchi, Jun Suzuki, Sosuke Kobayashi, Sho Yokoi, Tatsuki Kuribayashi, Ryuto Konno, Kentaro Inui
2020 B conf
Modeling Event Salience in Narratives via Barthes' Cardinal Functions.
COLING
Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui
2020 J jnl
Modeling Event Salience in Narratives via Barthes' Cardinal Functions.
CoRR
Takaki Otake, Sho Yokoi, Naoya Inoue, Ryo Takahashi, Tatsuki Kuribayashi, Kentaro Inui
2020 J jnl
Utterance Pair Scoring for Noisy Dialogue Data Filtering.
CoRR
Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui
2020 — conf
Word Rotator's Distance.
EMNLP (1)
Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui
2020 J jnl
Word Rotator's Distance: Decomposing Vectors Gives Better Representations.
CoRR
Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui
2018 A* conf
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions.
EMNLP
Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui
2018 J jnl
Pointwise HSIC: A Linear-Time Kernelized Co-occurrence Norm for Sparse Linguistic Expressions.
CoRR
Sho Yokoi, Sosuke Kobayashi, Kenji Fukumizu, Jun Suzuki, Kentaro Inui
2018 — conf
Unsupervised Learning of Style-sensitive Word Vectors.
ACL (2)
Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui
2018 J jnl
Unsupervised Learning of Style-sensitive Word Vectors.
CoRR
Reina Akama, Kento Watanabe, Sho Yokoi, Sosuke Kobayashi, Kentaro Inui
2017 A* conf
Learning Co-Substructures by Kernel Dependence Maximization.
IJCAI
Sho Yokoi, Daichi Mochihashi, Ryo Takahashi, Naoaki Okazaki, Kentaro Inui
2017 J jnl
Link Prediction in Sparse Networks by Incidence Matrix Factorization.
J. Inf. Process.
Sho Yokoi, Hiroshi Kajino, Hisashi Kashima
2016 A conf
Link Prediction by Incidence Matrix Factorization.
ECAI
Sho Yokoi, Hiroshi Kajino, Hisashi Kashima