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ORCIDJun Suzuki 0001
Person information
- affiliation: Tohoku University, Sendai, Japan
Other persons with the same name
- Jun Suzuki 0002
![[0000-0003-1975-6003]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1975-6003")
— University of Electro-Communications, Tokyo, Japan - Jun Suzuki 0003 — Waseda University, Tokyo, Japan
- Jun Suzuki 0004 — NEC Corporation, Kanagawa, Japan
- Jun Suzuki 0005 — SKY Perfect JSAT Corporation, Tokyo, Japan
- Jun Suzuki 0006 — National Institute of Technology, Sendai College, Sendai, Japan
- Jun Suzuki 0007 — National Graduate Institute for Policy Studies (GRIPS), Tokyo, Japan
- Jun Suzuki 0008 — University of Massachusetts, Boston, MA, USA
- Jun Suzuki 0009 — Iwate Plant, Kanto Auto Works Limited, Japan
- Jun Suzuki 0010 — Keio University, Yokohama, Japan
- Jun Suzuki 0011 — NTT Corporation, NTT Communication Science Laboratories, Japan
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2020 – today
- 2024
[c109]Ryota Tanaka, Taichi Iki, Kyosuke Nishida, Kuniko Saito, Jun Suzuki:
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions. AAAI 2024: 19071-19079- [c108]Kazuki Yano, Takumi Ito, Jun Suzuki:
STEP: Staged Parameter-Efficient Pre-training for Large Language Models. ACL (Student Research Workshop) 2024: 607-614 - [c107]Shiki Sato, Reina Akama, Jun Suzuki, Kentaro Inui:
A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems. ACL (Findings) 2024: 16047-16062 - [c106]Masato Mita, Keisuke Sakaguchi, Masato Hagiwara, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui:
Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond. BEA 2024: 251-265 - [c105]Masahiro Makino, Yuya Asazuma, Shota Sasaki, Jun Suzuki:
The Impact of Integration Step on Integrated Gradients. EACL (Student Research Workshop) 2024: 279-289 - [c104]Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi:
Pruning Multilingual Large Language Models for Multilingual Inference. EMNLP (Findings) 2024: 9921-9942 - [c103]Ryohei Kamei, Daiki Shiono, Reina Akama, Jun Suzuki:
Detecting Response Generation Not Requiring Factual Judgment. NAACL (Student Research Workshop) 2024: 116-123 - [c102]Keito Kudo, Hiroyuki Deguchi, Makoto Morishita, Ryo Fujii, Takumi Ito, Shintaro Ozaki, Koki Natsumi, Kai Sato, Kazuki Yano, Ryosuke Takahashi, Subaru Kimura, Tomomasa Hara, Yusuke Sakai, Jun Suzuki:
Document-level Translation with LLM Reranking: Team-J at WMT 2024 General Translation Task. WMT 2024: 210-226 - [i54]Ryota Tanaka, Taichi Iki, Kyosuke Nishida, Kuniko Saito, Jun Suzuki:
InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions. CoRR abs/2401.13313 (2024) - [i53]Shiki Sato, Reina Akama, Jun Suzuki, Kentaro Inui:
A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems. CoRR abs/2403.12500 (2024) - [i52]Ryohei Kamei, Daiki Shiono, Reina Akama, Jun Suzuki:
Detecting Response Generation Not Requiring Factual Judgment. CoRR abs/2406.09702 (2024) - [i51]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) - [i50]Subaru Kimura, Ryota Tanaka, Shumpei Miyawaki, Jun Suzuki, Keisuke Sakaguchi:
Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection. CoRR abs/2408.03554 (2024) - [i49]Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Kentaro Inui:
An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication. CoRR abs/2408.15543 (2024) - [i48]Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Kentaro Inui:
MQM-Chat: Multidimensional Quality Metrics for Chat Translation. CoRR abs/2408.16390 (2024) - [i47]Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi:
Pruning Multilingual Large Language Models for Multilingual Inference. CoRR abs/2409.16911 (2024) - 2023
- [j11]Shoji Moriya, Daiki Shiono, Riki Fujihara, Yosuke Kishinami, Subaru Kimura, Shusaku Sone, Reina Akama, Yuta Matsumoto, Jun Suzuki, Kentaro Inui:
Aoba_v3 bot: a multimodal chatbot system combining rules and various response generation models. Adv. Robotics 37(21): 1392-1405 (2023) - [j10]Jun Suzuki, Heiga Zen, Hideto Kazawa:
Extracting representative subset from extensive text data for training pre-trained language models. Inf. Process. Manag. 60(3): 103249 (2023) - [j9]Shota Sasaki, Benjamin Heinzerling, Jun Suzuki, Kentaro Inui:
Examining the effect of whitening on static and contextualized word embeddings. Inf. Process. Manag. 60(3): 103272 (2023) - [c101]Chikara Hashimoto, Gautam Kumar, Shuichiro Hashimoto, Jun Suzuki:
Hunt for Buried Treasures: Extracting Unclaimed Embodiments from Patent Specifications. ACL (industry) 2023: 25-36 - [c100]Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki:
B2T Connection: Serving Stability and Performance in Deep Transformers. ACL (Findings) 2023: 3078-3095 - [c99]Atsushi Shirafuji, Yusuke Oda, Jun Suzuki, Makoto Morishita, Yutaka Watanobe:
Refactoring Programs Using Large Language Models with Few-Shot Examples. APSEC 2023: 151-160 - [c98]Keito Kudo, Haruki Nagasawa, Jun Suzuki, Nobuyuki Shimizu:
A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video. EMNLP 2023: 7380-7402 - [c97]Ikumi Ito, Takumi Ito, Jun Suzuki, Kentaro Inui:
Investigating the Effectiveness of Multiple Expert Models Collaboration. EMNLP (Findings) 2023: 14393-14404 - [c96]Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Goro Kobayashi, Hiroaki Funayama:
Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism. EMNLP 2023: 14753-14773 - [c95]Takumi Ito, Naomi Yamashita, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Ge Gao, Jack Jamieson, Kentaro Inui:
Use of an AI-powered Rewriting Support Software in Context with Other Tools: A Study of Non-Native English Speakers. UIST 2023: 45:1-45:13 - [c94]Keito Kudo, Takumi Ito, Makoto Morishita, Jun Suzuki:
SKIM at WMT 2023 General Translation Task. WMT 2023: 128-136 - [i46]Atsushi Shirafuji, Yutaka Watanobe, Takumi Ito, Makoto Morishita, Yuki Nakamura, Yusuke Oda, Jun Suzuki:
Exploring the Robustness of Large Language Models for Solving Programming Problems. CoRR abs/2306.14583 (2023) - [i45]Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Ryoko Tokuhisa, Ana Brassard, Kentaro Inui:
Chat Translation Error Detection for Assisting Cross-lingual Communications. CoRR abs/2308.01044 (2023) - [i44]Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Goro Kobayashi, Hiroaki Funayama:
Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism. CoRR abs/2310.14868 (2023) - [i43]Atsushi Shirafuji, Yusuke Oda, Jun Suzuki, Makoto Morishita, Yutaka Watanobe:
Refactoring Programs Using Large Language Models with Few-Shot Examples. CoRR abs/2311.11690 (2023) - [i42]Keito Kudo, Haruki Nagasawa, Jun Suzuki, Nobuyuki Shimizu:
A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video. CoRR abs/2312.01575 (2023) - [i41]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
- [c93]Shumpei Miyawaki, Taku Hasegawa, Kyosuke Nishida, Takuma Kato, Jun Suzuki:
Scene-Text Aware Image and Text Retrieval with Dual-Encoder. ACL (student) 2022: 422-433 - [c92]Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui:
Balancing Cost and Quality: An Exploration of Human-in-the-Loop Frameworks for Automated Short Answer Scoring. AIED (1) 2022: 465-476 - [c91]Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui:
Target-Guided Open-Domain Conversation Planning. COLING 2022: 660-668 - [c90]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
Domain Adaptation of Machine Translation with Crowdworkers. EMNLP (Industry Track) 2022: 606-618 - [c89]Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Ryoko Tokuhisa, Ana Brassard, Kentaro Inui:
Chat Translation Error Detection for Assisting Cross-lingual Communications. Eval4NLP 2022: 88-95 - [c88]Shiki Sato, Yosuke Kishinami, Hiroaki Sugiyama, Reina Akama, Ryoko Tokuhisa, Jun Suzuki:
Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems. AACL/IJCNLP 2022 (Student Research Workshop) 2022: 8-16 - [c87]Makoto Morishita, Katsuki Chousa, Jun Suzuki, Masaaki Nagata:
JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus. LREC 2022: 6704-6710 - [c86]Shiki Sato, Reina Akama, Hiroki Ouchi, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui:
N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models. SIGDIAL 2022: 637-644 - [c85]Atsushi Shirafuji, Takumi Ito, Makoto Morishita, Yuki Nakamura, Yusuke Oda, Jun Suzuki, Yutaka Watanobe:
Prompt Sensitivity of Language Model for Solving Programming Problems. SoMeT 2022: 346-359 - [c84]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 - [i40]Makoto Morishita, Katsuki Chousa, Jun Suzuki, Masaaki Nagata:
JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus. CoRR abs/2202.12607 (2022) - [i39]Masato Mita, Keisuke Sakaguchi, Masato Hagiwara, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui:
Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond. CoRR abs/2205.11484 (2022) - [i38]Sosuke Kobayashi, Shun Kiyono, Jun Suzuki, Kentaro Inui:
Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model. CoRR abs/2205.11833 (2022) - [i37]Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki:
On Layer Normalizations and Residual Connections in Transformers. CoRR abs/2206.00330 (2022) - [i36]Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui:
Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer Scoring. CoRR abs/2206.08288 (2022) - [i35]Shiki Sato, Reina Akama, Hiroki Ouchi, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui:
N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models. CoRR abs/2208.02578 (2022) - [i34]Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui:
Target-Guided Open-Domain Conversation Planning. CoRR abs/2209.09746 (2022) - [i33]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
Domain Adaptation of Machine Translation with Crowdworkers. CoRR abs/2210.15861 (2022) - [i32]Shiki Sato, Yosuke Kishinami, Hiroaki Sugiyama, Reina Akama, Ryoko Tokuhisa, Jun Suzuki:
Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems. CoRR abs/2211.10596 (2022) - 2021
- [j8]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) - [j7]Shota Sasaki, Jun Suzuki, Kentaro Inui:
Subword-Based Compact Reconstruction for Open-Vocabulary Neural Word Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3551-3564 (2021) - [c83]Makoto Morishita, Jun Suzuki, Tomoharu Iwata, Masaaki Nagata:
Context-aware Neural Machine Translation with Mini-batch Embedding. EACL 2021: 2513-2521 - [c82]Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui:
SHAPE : Shifted Absolute Position Embedding for Transformers. EMNLP (1) 2021: 3309-3321 - [c81]Yutaka Watanobe, Md. Mostafizer Rahman, Alexander Vazhenin, Jun Suzuki:
Adaptive User Interface for Smart Programming Exercise. TALE 2021: 1-7 - [i31]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i30]Yasufumi Taniguchi, Hiroki Nakayama, Takahiro Kubo, Jun Suzuki:
An Investigation Between Schema Linking and Text-to-SQL Performance. CoRR abs/2102.01847 (2021) - [i29]Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui:
SHAPE: Shifted Absolute Position Embedding for Transformers. CoRR abs/2109.05644 (2021) - [i28]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
- [j6]Shun Kiyono, Jun Suzuki, Tomoya Mizumoto, Kentaro Inui:
Massive Exploration of Pseudo Data for Grammatical Error Correction. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2134-2145 (2020) - [c80]Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki, Kentaro Inui:
Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition. ACL (student) 2020: 222-229 - [c79]Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita, Kentaro Inui:
Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation. ACL (student) 2020: 237-243 - [c78]Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki, Kentaro Inui:
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. ACL 2020: 488-504 - [c77]Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki, Kentaro Inui:
Evaluating Dialogue Generation Systems via Response Selection. ACL 2020: 593-599 - [c76]Ryosuke Kuwabara, Jun Suzuki, Hideki Nakayama:
Single Model Ensemble using Pseudo-Tags and Distinct Vectors. ACL 2020: 3006-3013 - [c75]Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, Kentaro Inui:
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction. ACL 2020: 4248-4254 - [c74]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 - [c73]Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui:
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. COLING 2020: 5929-5943 - [c72]Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Efficient Estimation of Influence of a Training Instance. SustaiNLP@EMNLP 2020: 41-47 - [c71]Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui:
Langsmith: An Interactive Academic Text Revision System. EMNLP (Demos) 2020: 216-226 - [c70]Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, Kentaro Inui:
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. EMNLP (Findings) 2020: 267-280 - [c69]Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness. EMNLP (1) 2020: 941-958 - [c68]Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui:
Word Rotator's Distance. EMNLP (1) 2020: 2944-2960 - [c67]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus. LREC 2020: 3603-3609 - [c66]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [c65]Shun Kiyono, Takumi Ito, Ryuto Konno, Makoto Morishita, Jun Suzuki:
Tohoku-AIP-NTT at WMT 2020 News Translation Task. WMT@EMNLP 2020: 145-155 - [i27]Reina Akama, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Utterance Pair Scoring for Noisy Dialogue Data Filtering. CoRR abs/2004.14008 (2020) - [i26]Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki, Kentaro Inui:
Evaluating Dialogue Generation Systems via Response Selection. CoRR abs/2004.14302 (2020) - [i25]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) - [i24]Sho Yokoi, Ryo Takahashi, Reina Akama, Jun Suzuki, Kentaro Inui:
Word Rotator's Distance: Decomposing Vectors Gives Better Representations. CoRR abs/2004.15003 (2020) - [i23]Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki, Kentaro Inui:
Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. CoRR abs/2005.00842 (2020) - [i22]Ryosuke Kuwabara, Jun Suzuki, Hideki Nakayama:
Single Model Ensemble using Pseudo-Tags and Distinct Vectors. CoRR abs/2005.00879 (2020) - [i21]Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, Kentaro Inui:
Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction. CoRR abs/2005.00987 (2020) - [i20]Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki, Kentaro Inui:
Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition. CoRR abs/2006.01372 (2020) - [i19]Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, Kentaro Inui:
A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. CoRR abs/2010.03155 (2020) - [i18]Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui:
Langsmith: An Interactive Academic Text Revision System. CoRR abs/2010.04332 (2020) - [i17]Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui:
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. CoRR abs/2011.02121 (2020) - [i16]Sosuke Kobayashi, Sho Yokoi, Jun Suzuki, Kentaro Inui:
Efficient Estimation of Influence of a Training Instance. CoRR abs/2012.04207 (2020)
2010 – 2019
- 2019
- [j5]Jun Suzuki, Yoshihiko Suhara, Hiroyuki Toda, Kyosuke Nishida:
Personalized Visited-POI Assignment to Individual Raw GPS Trajectories. ACM Trans. Spatial Algorithms Syst. 5(3): 16:1-16:28 (2019) - [c64]Shun Kiyono, Jun Suzuki, Kentaro Inui:
Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework. AAAI 2019: 4073-4081 - [c63]Sho Takase, Jun Suzuki, Masaaki Nagata:
Character n-Gram Embeddings to Improve RNN Language Models. AAAI 2019: 5074-5082 - [c62]Motoki Sato, Jun Suzuki, Shun Kiyono:
Effective Adversarial Regularization for Neural Machine Translation. ACL (1) 2019: 204-210 - [c61]Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui:
An Empirical Study of Span Representations in Argumentation Structure Parsing. ACL (1) 2019: 4691-4698 - [c60]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
NTT Neural Machine Translation Systems at WAT 2019. WAT@EMNLP-IJCNLP 2019: 99-105 - [c59]Hiroki Asano, Masato Mita, Tomoya Mizumoto, Jun Suzuki:
The AIP-Tohoku System at the BEA-2019 Shared Task. BEA@ACL 2019: 176-182 - [c58]Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui:
TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. EMNLP/IJCNLP (3) 2019: 229-234 - [c57]Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine:
Select and Attend: Towards Controllable Content Selection in Text Generation. EMNLP/IJCNLP (1) 2019: 579-590 - [c56]Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui:
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. EMNLP/IJCNLP (1) 2019: 1236-1242 - [c55]Hiroki Ouchi, Jun Suzuki, Kentaro Inui:
Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis. EMNLP/IJCNLP (1) 2019: 3663-3669 - [c54]Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui:
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. INLG 2019: 40-53 - [c53]Hirofumi Inaguma, Shun Kiyono, Nelson Enrique Yalta Soplin, Jun Suzuki, Kevin Duh, Shinji Watanabe:
ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going Deeper. IWSLT 2019 - [c52]Shota Sasaki, Jun Suzuki, Kentaro Inui:
Subword-based Compact Reconstruction of Word Embeddings. NAACL-HLT (1) 2019: 3498-3508 - [c51]Kazuaki Hanawa, Shota Sasaki, Hiroki Ouchi, Jun Suzuki, Kentaro Inui:
The Sally Smedley Hyperpartisan News Detector at SemEval-2019 Task 4. SemEval@NAACL-HLT 2019: 1057-1061 - [i15]Jun Suzuki, Yoshihiko Suhara, Hiroyuki Toda, Kyosuke Nishida:
Personalized Visited-POI Assignment to Individual Raw GPS Trajectories. CoRR abs/1901.06257 (2019) - [i14]Sho Takase, Jun Suzuki, Masaaki Nagata:
Character n-gram Embeddings to Improve RNN Language Models. CoRR abs/1906.05506 (2019) - [i13]Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui:
An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. CoRR abs/1909.00502 (2019) - [i12]Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui:
TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. CoRR abs/1909.02621 (2019) - [i11]Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine:
Select and Attend: Towards Controllable Content Selection in Text Generation. CoRR abs/1909.04453 (2019) - [i10]Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui:
Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. CoRR abs/1910.09180 (2019) - [i9]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus. CoRR abs/1911.10668 (2019) - 2018
- [c50]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 - [c49]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
Improving Neural Machine Translation by Incorporating Hierarchical Subword Features. COLING 2018: 618-629 - [c48]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 - [c47]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 - [c46]Sho Takase, Jun Suzuki, Masaaki Nagata:
Direct Output Connection for a High-Rank Language Model. EMNLP 2018: 4599-4609 - [c45]Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto:
Interpretable Adversarial Perturbation in Input Embedding Space for Text. IJCAI 2018: 4323-4330 - [c44]Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata:
Reducing Odd Generation from Neural Headline Generation. PACLIC 2018 - [c43]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
NTT's Neural Machine Translation Systems for WMT 2018. WMT (shared task) 2018: 461-466 - [i8]Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto:
Interpretable Adversarial Perturbation in Input Embedding Space for Text. CoRR abs/1805.02917 (2018) - [i7]Sho Takase, Jun Suzuki, Masaaki Nagata:
Direct Output Connection for a High-Rank Language Model. CoRR abs/1808.10143 (2018) - [i6]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) - [i5]Shun Kiyono, Jun Suzuki, Kentaro Inui:
Mixture of Expert/Imitator Networks: Scalable Semi-supervised Learning Framework. CoRR abs/1810.05788 (2018) - 2017
- [c42]Naoki Mizukami, Jun Suzuki, Hirotaka Kameko, Yoshimasa Tsuruoka:
Exploration Bonuses Based on Upper Confidence Bounds for Sparse Reward Games. ACG 2017: 165-175 - [c41]Makoto Morishita, Jun Suzuki, Masaaki Nagata:
NTT Neural Machine Translation Systems at WAT 2017. WAT@IJCNLP 2017: 89-94 - [c40]Jun Suzuki, Masaaki Nagata:
Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization. EACL (2) 2017: 291-297 - [c39]Tsutomu Hirao, Masaaki Nishino, Jun Suzuki, Masaaki Nagata:
Enumeration of Extractive Oracle Summaries. EACL (1) 2017: 386-396 - [c38]Hirotaka Kameko, Jun Suzuki, Naoki Mizukami, Yoshimasa Tsuruoka:
Deep Reinforcement Learning with Hidden Layers on Future States. CGW@IJCAI 2017: 46-60 - [c37]Sho Takase, Jun Suzuki, Masaaki Nagata:
Input-to-Output Gate to Improve RNN Language Models. IJCNLP(2) 2017: 43-48 - [c36]Itsumi Saito, Jun Suzuki, Kyosuke Nishida, Kugatsu Sadamitsu, Satoshi Kobashikawa, Ryo Masumura, Yuji Matsumoto, Junji Tomita:
Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels. IJCNLP(2) 2017: 257-262 - [i4]Jun Suzuki, Masaaki Nagata:
RNN-based Encoder-decoder Approach with Word Frequency Estimation. CoRR abs/1701.00138 (2017) - [i3]Tsutomu Hirao, Masaaki Nishino, Jun Suzuki, Masaaki Nagata:
Enumeration of Extractive Oracle Summaries. CoRR abs/1701.01614 (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
- [j4]Katsuhiko Hayashi, Jun Suzuki, Masaaki Nagata:
Shift-reduce Spinal TAG Parsing with Dynamic Programming. Inf. Media Technol. 11: 93-100 (2016) - [c35]Masaaki Nishino, Jun Suzuki, Masaaki Nagata:
Phrase Table Pruning via Submodular Function Maximization. ACL (2) 2016 - [c34]Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, Masaaki Nagata:
Neural Headline Generation on Abstract Meaning Representation. EMNLP 2016: 1054-1059 - [c33]Jun Suzuki, Masaaki Nagata:
Learning Compact Neural Word Embeddings by Parameter Space Sharing. IJCAI 2016: 2046-2052 - [c32]Jun Suzuki, Masaaki Nagata:
Right-truncatable Neural Word Embeddings. HLT-NAACL 2016: 1145-1151 - 2015
- [j3]Tsutomu Hirao, Masaaki Nishino, Yasuhisa Yoshida, Jun Suzuki, Norihito Yasuda, Masaaki Nagata:
Summarizing a Document by Trimming the Discourse Tree. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 2081-2092 (2015) - [c31]Jun Suzuki, Masaaki Nagata:
A Unified Learning Framework of Skip-Grams and Global Vectors. ACL (2) 2015: 186-191 - 2014
- [c30]Jun Suzuki, Masaaki Nagata:
Fused Feature Representation Discovery for High-Dimensional and Sparse Data. AAAI 2014: 1593-1599 - [c29]Yasuhisa Yoshida, Jun Suzuki, Tsutomu Hirao, Masaaki Nagata:
Dependency-based Discourse Parser for Single-Document Summarization. EMNLP 2014: 1834-1839 - [c28]Yotaro Kubo, Jun Suzuki, Takaaki Hori, Atsushi Nakamura:
Restructuring output layers of deep neural networks using minimum risk parameter clustering. INTERSPEECH 2014: 1068-1072 - [c27]Akinori Fujino, Jun Suzuki, Tsutomu Hirao, Hisashi Kurasawa, Katsuyoshi Hayashi:
SCT-D3 at the NTCIR-11 MedNLP-2 Task. NTCIR 2014 - 2013
- [j2]Masaaki Nishino, Norihito Yasuda, Tsutomu Hirao, Jun Suzuki, Masaaki Nagata:
Lagrangian Relaxation for Scalable Text Summarization while Maximizing Multiple Objectives. Inf. Media Technol. 8(4): 1017-1025 (2013) - [c26]Jun Suzuki, Masaaki Nagata:
Supervised Model Learning with Feature Grouping based on a Discrete Constraint. ACL (2) 2013: 18-23 - [c25]Masaaki Nishino, Norihito Yasuda, Tsutomu Hirao, Jun Suzuki, Masaaki Nagata:
Text Summarization while Maximizing Multiple Objectives with Lagrangian Relaxation. ECIR 2013: 772-775 - [c24]Katsuhiko Hayashi, Katsuhito Sudoh, Hajime Tsukada, Jun Suzuki, Masaaki Nagata:
Shift-Reduce Word Reordering for Machine Translation. EMNLP 2013: 1382-1386 - [c23]Katsuhito Sudoh, Jun Suzuki, Hajime Tsukada, Masaaki Nagata, Sho Hoshino, Yusuke Miyao:
NTT-NII Statistical Machine Translation for NTCIR-10 PatentMT. NTCIR 2013 - 2012
- [c22]Norihito Yasuda, Masaaki Nishino, Tsutomu Hirao, Jun Suzuki, Ryoji Kataoka:
A Query-Focused Summarization Method that Guarantees the Inclusion of Query Words. DEXA Workshops 2012: 126-130 - 2011
- [c21]Jun Suzuki, Hideki Isozaki, Masaaki Nagata:
Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning. ACL (2) 2011: 636-641 - [c20]Jun Suzuki, Kevin Duh, Masaaki Nagata:
Distributed Minimum Error Rate Training of SMT using Particle Swarm Optimization. IJCNLP 2011: 649-657
2000 – 2009
- 2009
- [c19]Tsutomu Hirao, Jun Suzuki, Hideki Isozaki:
A Syntax-Free Approach to Japanese Sentence Compression. ACL/IJCNLP 2009: 826-833 - [c18]Jun Suzuki, Hideki Isozaki, Xavier Carreras, Michael Collins:
An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing. EMNLP 2009: 551-560 - 2008
- [c17]Jun Suzuki, Hideki Isozaki:
Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data. ACL 2008: 665-673 - [c16]Akinori Fujino, Hideki Isozaki, Jun Suzuki:
Multi-label Text Categorization with Model Combination based on F1-score Maximization. IJCNLP 2008: 823-828 - [c15]Katsuhito Sudoh, Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki Isozaki:
NTT statistical machine translation system for IWSLT 2008. IWSLT 2008: 92-97 - 2007
- [c14]Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki Isozaki:
Online Large-Margin Training for Statistical Machine Translation. EMNLP-CoNLL 2007: 764-773 - [c13]Jun Suzuki, Akinori Fujino, Hideki Isozaki:
Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach. EMNLP-CoNLL 2007: 791-800 - [c12]Taro Watanabe, Jun Suzuki, Katsuhito Sudoh, Hajime Tsukada, Hideki Isozaki:
Larger feature set approach for machine translation in IWSLT 2007. IWSLT 2007: 111-118 - 2006
- [j1]Jun Suzuki, Yutaka Sasaki, Eisaku Maeda:
Hierarchical directed acyclic graph kernel. Syst. Comput. Jpn. 37(10): 58-68 (2006) - [c11]Norihito Yasuda, Tsutomu Hirao, Jun Suzuki, Hideki Isozaki:
Identifying Bloggers' Residential Areas. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 231-236 - [c10]Jun Suzuki, Erik McDermott, Hideki Isozaki:
Training Conditional Random Fields with Multivariate Evaluation Measures. ACL 2006 - [c9]Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki Isozaki:
NTT statistical machine translation for IWSLT 2006. IWSLT 2006: 95-102 - 2005
- [c8]Taku Kudo, Jun Suzuki, Hideki Isozaki:
Boosting-based Parse Reranking with Subtree Features. ACL 2005: 189-196 - [c7]Hajime Tsukada, Taro Watanabe, Jun Suzuki, Hideto Kazawa, Hideki Isozaki:
The NTT statistical machine translation system for IWSLT2005. IWSLT 2005: 112-117 - [c6]Jun Suzuki, Hideki Isozaki:
Sequence and Tree Kernels with Statistical Feature Mining. NIPS 2005: 1321-1328 - 2004
- [c5]Jun Suzuki, Hideki Isozaki, Eisaku Maeda:
Convolution Kernels with Feature Selection for Natural Language Processing Tasks. ACL 2004: 119-126 - [c4]Tsutomu Hirao, Jun Suzuki, Hideki Isozaki, Eisaku Maeda:
Dependency-based Sentence Alignment for Multiple Document Summarization. COLING 2004 - 2003
- [c3]Jun Suzuki, Tsutomu Hirao, Yutaka Sasaki, Eisaku Maeda:
Hierarchical Directed Acyclic Graph Kernel: Methods for Structured Natural Language Data. ACL 2003: 32-39 - [c2]Jun Suzuki, Yutaka Sasaki, Eisaku Maeda:
Kernels for Structured Natural Language Data. NIPS 2003: 643-650 - 2002
- [c1]Jun Suzuki, Yutaka Sasaki, Eisaku Maeda:
SVM Answer Selection for Open-Domain Question Answering. COLING 2002
Coauthor Index
[c107] [c106] [i53] [i49] [i48] [j11] [j9] [c97] [c95] [i45] [c92] [c91] [c89] [c86] [i39] [i38] [i36] [i35] [i34] [j8] [j7] [c82] [i29] [i28] [j6] [c80] [c79] [c78] [c77] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [i27] [i26] [i25] [i24] [i23] [i21] [i20] [i19] [i18] [i17] [i16] [c64] [c61] [c58] [c57] [c56] [c55] [c54] [c52] [c51] [i13] [i12] [i11] [i10] [c48] [c47] [c44] [i6] [i5] [i1]
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