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Koichi Takeda 0003
Person information
- affiliation: Nagoya University, Graduate School of Informatics, Japan
Other persons with the same name
- Koichi Takeda — disambiguation page
- Koichi Takeda 0001 — Renesas Electronics, LSI Research Laboratory, Kawasaki, Japan (and 1 more)
- Koichi Takeda 0002 (aka: Kohichi Takeda) — IBM Research, Tokyo, Japan
- Koichi Takeda 0004 — University of Tohoku, Department of Electrical and Communication Engineering, Sendai, Japan
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Journal Articles
- 2024
- [j1]Lei Zhou, Ryohei Sasano, Koichi Takeda:
Inference Discrepancy Based Curriculum Learning for Neural Machine Translation. IEICE Trans. Inf. Syst. 107(1): 135-143 (2024)
Conference and Workshop Papers
- 2024
- [c25]Soma Sato, Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda:
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples. ACL (Student Research Workshop) 2024: 519-530 - [c24]Masashi Oshika, Makoto Morishita, Tsutomu Hirao, Ryohei Sasano, Koichi Takeda:
Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs. ACL (Findings) 2024: 8567-8577 - [c23]Yi Han, Ryohei Sasano, Koichi Takeda:
Definition Generation for Automatically Induced Semantic Frame. ACL (Findings) 2024: 11112-11118 - [c22]Hayato Tsukagoshi, Tsutomu Hirao, Makoto Morishita, Katsuki Chousa, Ryohei Sasano, Koichi Takeda:
WikiSplit++: Easy Data Refinement for Split and Rephrase. LREC/COLING 2024: 17625-17636 - [c21]Shohei Yoda, Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda:
Sentence Representations via Gaussian Embedding. EACL (2) 2024: 418-425 - [c20]Kotaro Aono, Ryohei Sasano, Koichi Takeda:
Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification. NAACL (Short Papers) 2024: 711-719 - 2023
- [c19]Naoya Sugiura, Kosuke Yamada, Ryohei Sasano, Koichi Takeda, Katsuhiko Toyama:
Building a Buzzer-quiz Answering System. ACL (student) 2023: 194-199 - [c18]Kosuke Yamada, Ryohei Sasano, Koichi Takeda:
Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction. ACL (Findings) 2023: 9356-9364 - [c17]Jun Hirako, Ryohei Sasano, Koichi Takeda:
Realistic Citation Count Prediction Task for Newly Published Papers. EACL (Findings) 2023: 1101-1111 - [c16]Kosuke Yamada, Ryohei Sasano, Koichi Takeda:
Semantic Frame Induction with Deep Metric Learning. EACL 2023: 1825-1837 - [c15]Masashi Oshika, Kosuke Yamada, Ryohei Sasano, Koichi Takeda:
Transformer-based Live Update Generation for Soccer Matches from Microblog Posts. EMNLP 2023: 10100-10106 - 2022
- [c14]Hongkuan Zhang, Saku Sugawara, Akiko Aizawa, Lei Zhou, Ryohei Sasano, Koichi Takeda:
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning. EMNLP 2022: 7599-7606 - [c13]Yi Han, Ryohei Sasano, Koichi Takeda:
Automating Interlingual Homograph Recognition with Parallel Sentences. AACL/IJCNLP (Findings) 2022: 211-216 - [c12]Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda:
Comparison and Combination of Sentence Embeddings Derived from Different Supervision Signals. *SEM@NAACL-HLT 2022: 139-150 - [c11]Ryosuke Takahashi, Ryohei Sasano, Koichi Takeda:
Leveraging Three Types of Embeddings from Masked Language Models in Idiom Token Classification. *SEM@NAACL-HLT 2022: 234-239 - 2021
- [c10]Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda:
DefSent: Sentence Embeddings using Definition Sentences. ACL/IJCNLP (2) 2021: 411-418 - [c9]Kosuke Yamada, Ryohei Sasano, Koichi Takeda:
Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering. ACL/IJCNLP (2) 2021: 811-816 - [c8]Kosuke Yamada, Ryohei Sasano, Koichi Takeda:
Verb Sense Clustering using Contextualized Word Representations for Semantic Frame Induction. ACL/IJCNLP (Findings) 2021: 4353-4362 - [c7]Kosuke Yamada, Yuta Hitomi, Hideaki Tamori, Ryohei Sasano, Naoaki Okazaki, Kentaro Inui, Koichi Takeda:
Transformer-based Lexically Constrained Headline Generation. EMNLP (1) 2021: 4085-4090 - [c6]Hongkuan Zhang, Koichi Takeda, Ryohei Sasano, Yusuke Adachi, Kento Ohtani:
Driving Behavior Aware Caption Generation for Egocentric Driving Videos Using In-Vehicle Sensors*. IV Workshops 2021: 287-292 - [c5]Lei Zhou, Liang Ding, Kevin Duh, Shinji Watanabe, Ryohei Sasano, Koichi Takeda:
Self-Guided Curriculum Learning for Neural Machine Translation. IWSLT 2021: 206-214 - 2020
- [c4]Kosuke Yamada, Tsutomu Hirao, Ryohei Sasano, Koichi Takeda, Masaaki Nagata:
Sequential Span Classification with Neural Semi-Markov CRFs for Biomedical Abstracts. EMNLP (Findings) 2020: 871-877 - [c3]Hongkuan Zhang, Ryohei Sasano, Koichi Takeda, Zoie Shui-Yee Wong:
Development of a Medical Incident Report Corpus with Intention and Factuality Annotation. LREC 2020: 4578-4584 - [c2]Lei Zhou, Liang Ding, Koichi Takeda:
Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns. WMT@EMNLP 2020: 1068-1074 - 2019
- [c1]Kosuke Yamada, Ryohei Sasano, Koichi Takeda:
Incorporating Textual Information on User Behavior for Personality Prediction. ACL (2) 2019: 177-182
Informal and Other Publications
- 2024
- [i19]Soma Sato, Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda:
Improving Sentence Embeddings with an Automatically Generated NLI Dataset. CoRR abs/2402.15132 (2024) - [i18]Kotaro Aono, Ryohei Sasano, Koichi Takeda:
Verifying Claims About Metaphors with Large-Scale Automatic Metaphor Identification. CoRR abs/2404.01029 (2024) - [i17]Hayato Tsukagoshi, Tsutomu Hirao, Makoto Morishita, Katsuki Chousa, Ryohei Sasano, Koichi Takeda:
WikiSplit++: Easy Data Refinement for Split and Rephrase. CoRR abs/2404.09002 (2024) - [i16]Akiko Aizawa, Eiji Aramaki, Bowen Chen, Fei Cheng, Hiroyuki Deguchi, Rintaro Enomoto, Kazuki Fujii, Kensuke Fukumoto, Takuya Fukushima, Namgi Han, Yuto Harada, Chikara Hashimoto, Tatsuya Hiraoka, Shohei Hisada, Sosuke Hosokawa, Lu Jie, Keisuke Kamata, Teruhito Kanazawa, Hiroki Kanezashi, Hiroshi Kataoka, Satoru Katsumata, Daisuke Kawahara, Seiya Kawano, Atsushi Keyaki, Keisuke Kiryu, Hirokazu Kiyomaru, Takashi Kodama, Takahiro Kubo, Yohei Kuga, Ryoma Kumon, Shuhei Kurita, Sadao Kurohashi, Conglong Li, Taiki Maekawa, Hiroshi Matsuda, Yusuke Miyao, Kentaro Mizuki, Sakae Mizuki, Yugo Murawaki, Ryo Nakamura, Taishi Nakamura, Kouta Nakayama, Tomoka Nakazato, Takuro Niitsuma, Jiro Nishitoba, Yusuke Oda, Hayato Ogawa, Takumi Okamoto, Naoaki Okazaki, Yohei Oseki, Shintaro Ozaki, Koki Ryu, Rafal Rzepka, Keisuke Sakaguchi, Shota Sasaki, Satoshi Sekine, Kohei Suda, Saku Sugawara, Issa Sugiura, Hiroaki Sugiyama, Hisami Suzuki, Jun Suzuki, Toyotaro Suzumura, Kensuke Tachibana, Yu Takagi, Kyosuke Takami, Koichi Takeda, Masashi Takeshita, Masahiro Tanaka, Kenjiro Taura, Arseny Tolmachev, Nobuhiro Ueda, Zhen Wan, Shuntaro Yada, Sakiko Yahata, Yuya Yamamoto, Yusuke Yamauchi, Hitomi Yanaka, Rio Yokota, Koichiro Yoshino:
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. CoRR abs/2407.03963 (2024) - [i15]Masashi Oshika, Makoto Morishita, Tsutomu Hirao, Ryohei Sasano, Koichi Takeda:
Simplifying Translations for Children: Iterative Simplification Considering Age of Acquisition with LLMs. CoRR abs/2408.04217 (2024) - [i14]Kunitomo Tanaka, Ryohei Sasano, Koichi Takeda:
Are Social Sentiments Inherent in LLMs? An Empirical Study on Extraction of Inter-demographic Sentiments. CoRR abs/2408.04293 (2024) - 2023
- [i13]Kosuke Yamada, Ryohei Sasano, Koichi Takeda:
Semantic Frame Induction with Deep Metric Learning. CoRR abs/2304.14286 (2023) - [i12]Shohei Yoda, Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda:
Sentence Representations via Gaussian Embedding. CoRR abs/2305.12990 (2023) - [i11]Kosuke Yamada, Ryohei Sasano, Koichi Takeda:
Acquiring Frame Element Knowledge with Deep Metric Learning for Semantic Frame Induction. CoRR abs/2305.13944 (2023) - [i10]Masashi Oshika, Kosuke Yamada, Ryohei Sasano, Koichi Takeda:
Transformer-based Live Update Generation for Soccer Matches from Microblog Posts. CoRR abs/2310.16368 (2023) - [i9]Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda:
Japanese SimCSE Technical Report. CoRR abs/2310.19349 (2023) - 2022
- [i8]Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda:
Comparison and Combination of Sentence Embeddings Derived from Different Supervision Signals. CoRR abs/2202.02990 (2022) - [i7]Hongkuan Zhang, Saku Sugawara, Akiko Aizawa, Lei Zhou, Ryohei Sasano, Koichi Takeda:
Cross-Modal Similarity-Based Curriculum Learning for Image Captioning. CoRR abs/2212.07075 (2022) - 2021
- [i6]Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda:
DefSent: Sentence Embeddings using Definition Sentences. CoRR abs/2105.04339 (2021) - [i5]Lei Zhou, Liang Ding, Kevin Duh, Shinji Watanabe, Ryohei Sasano, Koichi Takeda:
Self-Guided Curriculum Learning for Neural Machine Translation. CoRR abs/2105.04475 (2021) - [i4]Kosuke Yamada, Ryohei Sasano, Koichi Takeda:
Verb Sense Clustering using Contextualized Word Representations for Semantic Frame Induction. CoRR abs/2105.13465 (2021) - [i3]Kosuke Yamada, Ryohei Sasano, Koichi Takeda:
Semantic Frame Induction using Masked Word Embeddings and Two-Step Clustering. CoRR abs/2105.13466 (2021) - [i2]Kosuke Yamada, Yuta Hitomi, Hideaki Tamori, Ryohei Sasano, Naoaki Okazaki, Kentaro Inui, Koichi Takeda:
Transformer-based Lexically Constrained Headline Generation. CoRR abs/2109.07080 (2021) - 2020
- [i1]Lei Zhou, Liang Ding, Koichi Takeda:
Zero-Shot Translation Quality Estimation with Explicit Cross-Lingual Patterns. CoRR abs/2010.04989 (2020)
Coauthor Index
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