Set Expansion using Sibling Relations between Semantic Categories. - Sho Takase; Naoaki Okazaki; Kentaro Inui (PACLIC, 2012)

Detecting Chronic Critics Based on Sentiment Polarity and User's Behavior in Social Media. - Sho Takase; Akiko Murakami; Miki Enoki; Naoaki Okazaki; Kentaro Inui (ACL (Student Research Workshop), 2013)

Fast and Large-scale Unsupervised Relation Extraction. - Sho Takase; Naoaki Okazaki; Kentaro Inui (PACLIC, 2015)

Composing Distributed Representations of Relational Patterns. - Sho Takase; Naoaki Okazaki; Kentaro Inui (ACL (1), 2016)

Neural Headline Generation on Abstract Meaning Representation. - Sho Takase; Jun Suzuki 001; Naoaki Okazaki; Tsutomu Hirao; Masaaki Nagata (EMNLP, 2016)

Modeling semantic compositionality of relational patterns. - Sho Takase; Naoaki Okazaki; Kentaro Inui (Eng. Appl. Artif. Intell., 2016)

Input-to-Output Gate to Improve RNN Language Models. - Sho Takase; Jun Suzuki 001; Masaaki Nagata (IJCNLP(2), 2017)

Handling Multiword Expressions in Causality Estimation. - Shota Sasaki; Sho Takase; Naoya Inoue; Naoaki Okazaki; Kentaro Inui (IWCS(2), 2017)

Source-side Prediction for Neural Headline Generation. - Shun Kiyono; Sho Takase; Jun Suzuki 001; Naoaki Okazaki; Kentaro Inui; Masaaki Nagata (CoRR, 2017)

An Empirical Study of Building a Strong Baseline for Constituency Parsing. - Jun Suzuki 001; Sho Takase; Hidetaka Kamigaito; Makoto Morishita; Masaaki Nagata (ACL (2), 2018)

Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. - Shun Kiyono; Sho Takase; Jun Suzuki 001; Naoaki Okazaki; Kentaro Inui; Masaaki Nagata (BlackboxNLP@EMNLP, 2018)

Direct Output Connection for a High-Rank Language Model. - Sho Takase; Jun Suzuki 001; Masaaki Nagata (EMNLP, 2018)

Reducing Odd Generation from Neural Headline Generation. - Shun Kiyono; Sho Takase; Jun Suzuki 001; Naoaki Okazaki; Kentaro Inui; Masaaki Nagata (PACLIC, 2018)

Character n-Gram Embeddings to Improve RNN Language Models. - Sho Takase; Jun Suzuki 001; Masaaki Nagata (AAAI, 2019)

Generating Natural Anagrams: Towards Language Generation Under Hard Combinatorial Constraints. - Masaaki Nishino; Sho Takase; Tsutomu Hirao; Masaaki Nagata (EMNLP/IJCNLP (1), 2019)

Neural Question Generation using Interrogative Phrases. - Yuichi Sasazawa; Sho Takase; Naoaki Okazaki (INLG, 2019)

Positional Encoding to Control Output Sequence Length. - Sho Takase; Naoaki Okazaki (NAACL-HLT (1), 2019)

Improving Truthfulness of Headline Generation. - Kazuki Matsumaru; Sho Takase; Naoaki Okazaki (ACL, 2020)

Optimizing Word Segmentation for Downstream Task. - Tatsuya Hiraoka; Sho Takase; Kei Uchiumi; Atsushi Keyaki; Naoaki Okazaki (EMNLP (Findings), 2020)

Evaluation Dataset for Zero Pronoun in Japanese to English Translation. - Sho Shimazu; Sho Takase; Toshiaki Nakazawa; Naoaki Okazaki (LREC, 2020)

All Word Embeddings from One Embedding. - Sho Takase; Sosuke Kobayashi (NeurIPS, 2020)

Joint Optimization of Tokenization and Downstream Model. - Tatsuya Hiraoka; Sho Takase; Kei Uchiumi; Atsushi Keyaki; Naoaki Okazaki (ACL/IJCNLP (Findings), 2021)

Rethinking Perturbations in Encoder-Decoders for Fast Training. - Sho Takase; Shun Kiyono (NAACL-HLT, 2021)

Word-level Perturbation Considering Word Length and Compositional Subwords. - Tatsuya Hiraoka; Sho Takase; Kei Uchiumi; Atsushi Keyaki; Naoaki Okazaki (ACL (Findings), 2022)

Interpretability for Language Learners Using Example-Based Grammatical Error Correction. - Masahiro Kaneko; Sho Takase; Ayana Niwa; Naoaki Okazaki (ACL (1), 2022)

Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation. - Sho Takase; Tatsuya Hiraoka; Naoaki Okazaki (ACL (Findings), 2022)

Multi-Task Learning for Cross-Lingual Abstractive Summarization. - Sho Takase; Naoaki Okazaki (LREC, 2022)

ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization. - Mengsay Loem; Sho Takase; Masahiro Kaneko; Naoaki Okazaki (NAACL-HLT (Student Research Workshop), 2022)

NT5 at WMT 2022 General Translation Task. - Makoto Morishita; Keito Kudo; Yui Oka; Katsuki Chousa; Shun Kiyono; Sho Takase; Jun Suzuki 001 (WMT, 2022)

On Layer Normalizations and Residual Connections in Transformers. - Sho Takase; Shun Kiyono; Sosuke Kobayashi; Jun Suzuki 001 (CoRR, 2022)

Are Neighbors Enough? Multi-Head Neural n-gram can be Alternative to Self-attention. - Mengsay Loem; Sho Takase; Masahiro Kaneko; Naoaki Okazaki (CoRR, 2022)

Recurrent Neural Hidden Markov Model for High-order Transition. - Tatsuya Hiraoka; Sho Takase; Kei Uchiumi; Atsushi Keyaki; Naoaki Okazaki (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022)

Dynamic Structured Neural Topic Model with Self-Attention Mechanism. - Nozomu Miyamoto; Masaru Isonuma; Sho Takase; Junichiro Mori; Ichiro Sakata (ACL (Findings), 2023)

B2T Connection: Serving Stability and Performance in Deep Transformers. - Sho Takase; Shun Kiyono; Sosuke Kobayashi; Jun Suzuki 001 (ACL (Findings), 2023)

Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods. - Mengsay Loem; Masahiro Kaneko; Sho Takase; Naoaki Okazaki (BEA@ACL, 2023)

Bridging the Gap between Subword and Character Segmentation in Pretrained Language Models. - Shun Kiyono; Sho Takase; Shengzhe Li; Toshinori Sato (RANLP, 2023)

Lessons on Parameter Sharing across Layers in Transformers. - Sho Takase; Shun Kiyono (SustaiNLP, 2023)

Spike No More: Stabilizing the Pre-training of Large Language Models. - Sho Takase; Shun Kiyono; Sosuke Kobayashi; Jun Suzuki 001 (CoRR, 2023)

Nearest Neighbor Non-autoregressive Text Generation. - Ayana Niwa; Sho Takase; Naoaki Okazaki (J. Inf. Process., 2023)

Self-Translate-Train: A Simple but Strong Baseline for Cross-lingual Transfer of Large Language Models. - Ryokan Ri; Shun Kiyono; Sho Takase (CoRR, 2024)

Large Vocabulary Size Improves Large Language Models. - Sho Takase; Ryokan Ri; Shun Kiyono; Takuya Kato (ACL (Findings), 2025)

Scaling Laws for Upcycling Mixture-of-Experts Language Models. - Seng Pei Liew; Takuya Kato; Sho Takase (CoRR, 2025)

Efficient Construction of Model Family through Progressive Training Using Model Expansion. - Kazuki Yano; Sho Takase; Sosuke Kobayashi; Shun Kiyono; Jun Suzuki 001 (CoRR, 2025)

Natural Fingerprints of Large Language Models. - Teppei Suzuki; Ryokan Ri; Sho Takase (CoRR, 2025)