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ORCIDSho Takase
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2020 – today
- 2024
[i22]Sho Takase, Ryokan Ri, Shun Kiyono, Takuya Kato:
Large Vocabulary Size Improves Large Language Models. CoRR abs/2406.16508 (2024)- [i21]Ryokan Ri, Shun Kiyono, Sho Takase:
Self-Translate-Train: A Simple but Strong Baseline for Cross-lingual Transfer of Large Language Models. CoRR abs/2407.00454 (2024) - 2023
- [j3]Ayana Niwa, Sho Takase, Naoaki Okazaki:
Nearest Neighbor Non-autoregressive Text Generation. J. Inf. Process. 31: 344-352 (2023) - [c32]Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki:
B2T Connection: Serving Stability and Performance in Deep Transformers. ACL (Findings) 2023: 3078-3095 - [c31]Nozomu Miyamoto, Masaru Isonuma, Sho Takase, Junichiro Mori, Ichiro Sakata:
Dynamic Structured Neural Topic Model with Self-Attention Mechanism. ACL (Findings) 2023: 5916-5930 - [c30]Mengsay Loem, Masahiro Kaneko, Sho Takase, Naoaki Okazaki:
Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods. BEA@ACL 2023: 205-219 - [c29]Shun Kiyono, Sho Takase, Shengzhe Li, Toshinori Sato:
Bridging the Gap between Subword and Character Segmentation in Pretrained Language Models. RANLP 2023: 568-577 - [c28]Sho Takase, Shun Kiyono:
Lessons on Parameter Sharing across Layers in Transformers. SustaiNLP 2023: 78-90 - [i20]Mengsay Loem, Masahiro Kaneko, Sho Takase, Naoaki Okazaki:
Exploring Effectiveness of GPT-3 in Grammatical Error Correction: A Study on Performance and Controllability in Prompt-Based Methods. CoRR abs/2305.18156 (2023) - [i19]Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki
:
Spike No More: Stabilizing the Pre-training of Large Language Models. CoRR abs/2312.16903 (2023) - 2022
- [j2]Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki:
Recurrent Neural Hidden Markov Model for High-order Transition. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(2): 36:1-36:15 (2022) - [c27]Sho Takase, Tatsuya Hiraoka, Naoaki Okazaki:
Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation. ACL (Findings) 2022: 2536-2541 - [c26]Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki:
Word-level Perturbation Considering Word Length and Compositional Subwords. ACL (Findings) 2022: 3268-3275 - [c25]Masahiro Kaneko, Sho Takase, Ayana Niwa, Naoaki Okazaki:
Interpretability for Language Learners Using Example-Based Grammatical Error Correction. ACL (1) 2022: 7176-7187 - [c24]Sho Takase, Naoaki Okazaki:
Multi-Task Learning for Cross-Lingual Abstractive Summarization. LREC 2022: 3008-3016 - [c23]Mengsay Loem, Sho Takase, Masahiro Kaneko, Naoaki Okazaki:
ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization. NAACL-HLT (Student Research Workshop) 2022: 16-24 - [c22]Makoto Morishita, Keito Kudo, Yui Oka, Katsuki Chousa, Shun Kiyono, Sho Takase, Jun Suzuki:
NT5 at WMT 2022 General Translation Task. WMT 2022: 318-325 - [i18]Mengsay Loem, Sho Takase, Masahiro Kaneko, Naoaki Okazaki:
ExtraPhrase: Efficient Data Augmentation for Abstractive Summarization. CoRR abs/2201.05313 (2022) - [i17]Masahiro Kaneko, Sho Takase, Ayana Niwa, Naoaki Okazaki:
Interpretability for Language Learners Using Example-Based Grammatical Error Correction. CoRR abs/2203.07085 (2022) - [i16]Sho Takase, Tatsuya Hiraoka, Naoaki Okazaki:
Single Model Ensemble for Subword Regularized Models in Low-Resource Machine Translation. CoRR abs/2203.13528 (2022) - [i15]Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki:
On Layer Normalizations and Residual Connections in Transformers. CoRR abs/2206.00330 (2022) - [i14]Mengsay Loem, Sho Takase, Masahiro Kaneko, Naoaki Okazaki:
Are Neighbors Enough? Multi-Head Neural n-gram can be Alternative to Self-attention. CoRR abs/2207.13354 (2022) - [i13]Ayana Niwa, Sho Takase, Naoaki Okazaki:
Nearest Neighbor Non-autoregressive Text Generation. CoRR abs/2208.12496 (2022) - 2021
- [c21]Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki:
Joint Optimization of Tokenization and Downstream Model. ACL/IJCNLP (Findings) 2021: 244-255 - [c20]Sho Takase, Shun Kiyono:
Rethinking Perturbations in Encoder-Decoders for Fast Training. NAACL-HLT 2021: 5767-5780 - [i12]Sho Takase, Shun Kiyono:
Rethinking Perturbations in Encoder-Decoders for Fast Training. CoRR abs/2104.01853 (2021) - [i11]Sho Takase, Shun Kiyono:
Lessons on Parameter Sharing across Layers in Transformers. CoRR abs/2104.06022 (2021) - [i10]Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki:
Joint Optimization of Tokenization and Downstream Model. CoRR abs/2105.12410 (2021) - 2020
- [c19]Kazuki Matsumaru, Sho Takase, Naoaki Okazaki:
Improving Truthfulness of Headline Generation. ACL 2020: 1335-1346 - [c18]Tatsuya Hiraoka, Sho Takase, Kei Uchiumi, Atsushi Keyaki, Naoaki Okazaki:
Optimizing Word Segmentation for Downstream Task. EMNLP (Findings) 2020: 1341-1351 - [c17]Sho Shimazu, Sho Takase, Toshiaki Nakazawa, Naoaki Okazaki:
Evaluation Dataset for Zero Pronoun in Japanese to English Translation. LREC 2020: 3630-3634 - [c16]Sho Takase, Sosuke Kobayashi:
All Word Embeddings from One Embedding. NeurIPS 2020 - [i9]Sho Takase, Sosuke Kobayashi:
All Word Embeddings from One Embedding. CoRR abs/2004.12073 (2020) - [i8]Kazuki Matsumaru, Sho Takase, Naoaki Okazaki:
Improving Truthfulness of Headline Generation. CoRR abs/2005.00882 (2020) - [i7]Sho Takase, Naoaki Okazaki:
Multi-Task Learning for Cross-Lingual Abstractive Summarization. CoRR abs/2010.07503 (2020)
2010 – 2019
- 2019
- [c15]Sho Takase, Jun Suzuki, Masaaki Nagata:
Character n-Gram Embeddings to Improve RNN Language Models. AAAI 2019: 5074-5082 - [c14]Masaaki Nishino, Sho Takase, Tsutomu Hirao, Masaaki Nagata:
Generating Natural Anagrams: Towards Language Generation Under Hard Combinatorial Constraints. EMNLP/IJCNLP (1) 2019: 6407-6411 - [c13]Yuichi Sasazawa, Sho Takase, Naoaki Okazaki:
Neural Question Generation using Interrogative Phrases. INLG 2019: 106-111 - [c12]Sho Takase, Naoaki Okazaki:
Positional Encoding to Control Output Sequence Length. NAACL-HLT (1) 2019: 3999-4004 - [i6]Sho Takase, Naoaki Okazaki:
Positional Encoding to Control Output Sequence Length. CoRR abs/1904.07418 (2019) - [i5]Sho Takase, Jun Suzuki, Masaaki Nagata:
Character n-gram Embeddings to Improve RNN Language Models. CoRR abs/1906.05506 (2019) - 2018
- [c11]Jun Suzuki, Sho Takase, Hidetaka Kamigaito, Makoto Morishita, Masaaki Nagata:
An Empirical Study of Building a Strong Baseline for Constituency Parsing. ACL (2) 2018: 612-618 - [c10]Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata:
Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. BlackboxNLP@EMNLP 2018: 74-81 - [c9]Sho Takase, Jun Suzuki, Masaaki Nagata:
Direct Output Connection for a High-Rank Language Model. EMNLP 2018: 4599-4609 - [c8]Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata:
Reducing Odd Generation from Neural Headline Generation. PACLIC 2018 - [i4]Sho Takase, Jun Suzuki, Masaaki Nagata:
Direct Output Connection for a High-Rank Language Model. CoRR abs/1808.10143 (2018) - 2017
- [c7]Sho Takase, Jun Suzuki, Masaaki Nagata:
Input-to-Output Gate to Improve RNN Language Models. IJCNLP(2) 2017: 43-48 - [c6]Shota Sasaki, Sho Takase, Naoya Inoue, Naoaki Okazaki, Kentaro Inui:
Handling Multiword Expressions in Causality Estimation. IWCS(2) 2017 - [i3]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Composing Distributed Representations of Relational Patterns. CoRR abs/1707.07265 (2017) - [i2]Sho Takase, Jun Suzuki, Masaaki Nagata:
Input-to-Output Gate to Improve RNN Language Models. CoRR abs/1709.08907 (2017) - [i1]Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata:
Source-side Prediction for Neural Headline Generation. CoRR abs/1712.08302 (2017) - 2016
- [j1]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Modeling semantic compositionality of relational patterns. Eng. Appl. Artif. Intell. 50: 256-264 (2016) - [c5]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Composing Distributed Representations of Relational Patterns. ACL (1) 2016 - [c4]Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, Masaaki Nagata:
Neural Headline Generation on Abstract Meaning Representation. EMNLP 2016: 1054-1059 - 2015
- [c3]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Fast and Large-scale Unsupervised Relation Extraction. PACLIC 2015 - 2013
- [c2]Sho Takase, Akiko Murakami, Miki Enoki, Naoaki Okazaki, Kentaro Inui:
Detecting Chronic Critics Based on Sentiment Polarity and User's Behavior in Social Media. ACL (Student Research Workshop) 2013: 110-116 - 2012
- [c1]Sho Takase, Naoaki Okazaki, Kentaro Inui:
Set Expansion using Sibling Relations between Semantic Categories. PACLIC 2012: 525-534
Coauthor Index
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last updated on 2024-09-02 00:11 CEST by the dblp team
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