Jun Suzuki - RankMe

212 papers A* 27A 4B 13C 3Journal 91Unranked 74

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Enhancing Persuasive Dialogue Agents by Synthesizing Cross-Disciplinary Communication Strategies. CoRR Shinnosuke Nozue, Yuto Nakano, Yotaro Watanabe, Meguru Takasaki, Shoji Moriya, Reina Akama, Jun Suzuki
2026	J	`jnl`	Instruction-Following Evaluation of Large Vision-Language Models. New Gener. Comput. Daiki Shiono, Shumpei Miyawaki, Ryota Tanaka, Jun Suzuki
2026	J	`jnl`	Pre-training LLM without Learning Rate Decay Enhances Supervised Fine-Tuning. CoRR Kazuki Yano, Shun Kiyono, Sosuke Kobayashi, Sho Takase, Jun Suzuki
2026	J	`jnl`	Relaxing Positional Alignment in Masked Diffusion Language Models. CoRR Mengyu Ye, Ryosuke Takahashi, Keito Kudo, Jun Suzuki
2026	J	`jnl`	SLVMEval: Synthetic Meta Evaluation Benchmark for Text-to-Long Video Generation. CoRR Ryosuke Matsuda, Keito Kudo, Haruto Yoshida, Nobuyuki Shimizu, Jun Suzuki
2026	—	`conf`	Suppressing Final Layer Hidden State Jumps in Transformer Pretraining. EACL (Findings) Keigo Shibata, Kazuki Yano, Ryosuke Takahashi, Jaesung Lee, Wataru Ikeda, Jun Suzuki
2026	J	`jnl`	Suppressing Final Layer Hidden State Jumps in Transformer Pretraining. CoRR Keigo Shibata, Kazuki Yano, Ryosuke Takahashi, Jaesung Lee, Wataru Ikeda, Jun Suzuki
2026	—	`conf`	TimeMachine-bench: A Benchmark for Evaluating Model Capabilities in Repository-Level Migration Tasks. EACL (Volume 1: Long Papers) Ryo Fujii, Makoto Morishita, Kazuki Yano, Jun Suzuki
2026	J	`jnl`	TimeMachine-bench: A Benchmark for Evaluating Model Capabilities in Repository-Level Migration Tasks. CoRR Ryo Fujii, Makoto Morishita, Kazuki Yano, Jun Suzuki
2026	A	`conf`	Vulnerability of LLM Outputs to Heuristics-Inducing Prompt Structures. IUI Toshiki Kuramoto, Ryohei Kamei, Jun Suzuki
2025	J	`jnl`	An Open and Reproducible Deep Research Agent for Long-Form Question Answering. CoRR Ikuya Yamada, Wataru Ikeda, Ko Yoshida, Mengyu Ye, Hinata Sugimoto, Masatoshi Suzuki, Hisanori Ozaki, Jun Suzuki
2025	—	`conf`	AnaToM: A Dataset Generation Framework for Evaluating Theory of Mind Reasoning Toward the Anatomy of Difficulty through Structurally Controlled Story Generation. IJCNLP-AACL (Findings) Jun Suzuki, Ryoma Ishigaki, Eisaku Maeda
2025	—	`conf`	Can Input Attributions Explain Inductive Reasoning in In-Context Learning? ACL (Findings) Mengyu Ye, Tatsuki Kuribayashi, Goro Kobayashi, Jun Suzuki
2025	J	`jnl`	Deterministic Compression of Word Embeddings. IEEE Access Yuki Nakamura, Jun Suzuki, Takumi Ito, Kentaro Inui
2025	J	`jnl`	Dialogue Evaluation Is Affected by How Raters Perceive Stylistic Similarity. J. Nat. Lang. Process. Ikumi Numaya, Shoji Moriya, Shiki Sato, Reina Akama, Jun Suzuki
2025	A*	`conf`	Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization. ICLR Taishi Nakamura, Takuya Akiba, Kazuki Fujii, Yusuke Oda, Rio Yokota, Jun Suzuki
2025	J	`jnl`	Drop-Upcycling: Training Sparse Mixture of Experts with Partial Re-initialization. CoRR Taishi Nakamura, Takuya Akiba, Kazuki Fujii, Yusuke Oda, Rio Yokota, Jun Suzuki
2025	J	`jnl`	Efficient Construction of Model Family through Progressive Training Using Model Expansion. CoRR Kazuki Yano, Sho Takase, Sosuke Kobayashi, Shun Kiyono, Jun Suzuki
2025	—	`conf`	Enhancing Persuasive Dialogue Agents by Synthesizing Cross-Disciplinary Communication Strategies. EMNLP (Industry Track) Shinnosuke Nozue, Yuto Nakano, Yotaro Watanabe, Meguru Takasaki, Shoji Moriya, Reina Akama, Jun Suzuki
2025	B	`conf`	Evaluating Model Alignment with Human Perception: A Study on Shitsukan in LLMs and LVLMs. COLING Daiki Shiono, Ana Brassard, Yukiko Ishizuki, Jun Suzuki
2025	J	`jnl`	How Stylistic Similarity Shapes Preferences in Dialogue Dataset with User and Third Party Evaluations. CoRR Ikumi Numaya, Shoji Moriya, Shiki Sato, Reina Akama, Jun Suzuki
2025	J	`jnl`	Instruction-Following Evaluation of Large Vision-Language Models. CoRR Daiki Shiono, Shumpei Miyawaki, Ryota Tanaka, Jun Suzuki
2025	J	`jnl`	Knowledge Editing of Large Language Models Unconstrained by Word Order. J. Nat. Lang. Process. Ryoma Ishigaki, Jun Suzuki, Masaki Shuzo, Eisaku Maeda
2025	J	`jnl`	Layerwise Importance Analysis of Feed-Forward Networks in Transformer-based Language Models. CoRR Wataru Ikeda, Kazuki Yano, Ryosuke Takahashi, Jaesung Lee, Keigo Shibata, Jun Suzuki
2025	B	`conf`	MQM-Chat: Multidimensional Quality Metrics for Chat Translation. COLING Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Kentaro Inui
2025	J	`jnl`	NLP2025 Workshop: Fine-Tuning and Evaluation for Large Language Models. J. Nat. Lang. Process. Tsuyoshi Okita, Satoru Katsumata, Keisuke Kamata, Hirokazu Kiyomaru, Takashi Kodama, Jun Suzuki, Kouta Nakayama, Namgi Han, Yusuke Miyao
2025	J	`jnl`	Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks. CoRR Taishi Nakamura, Satoki Ishikawa, Masaki Kawamura, Takumi Okamoto, Daisuke Nohara, Jun Suzuki, Rio Yokota
2025	—	`conf`	Predicting Fine-tuned Performance on Larger Datasets Before Creating Them. COLING (Industry) Toshiki Kuramoto, Jun Suzuki
2025	J	`jnl`	Reference-free Evaluation Metrics for Text Generation: A Survey. CoRR Takumi Ito, Kees van Deemter, Jun Suzuki
2025	J	`jnl`	Reflections on Serving as Editor-in-Chief of the ACL Rolling Review. J. Nat. Lang. Process. Jun Suzuki
2025	—	`conf`	STEP: Staged Parameter-Efficient Pre-training for Large Language Models. NAACL (Short Papers) Kazuki Yano, Takumi Ito, Jun Suzuki
2025	J	`jnl`	STEP: Staged Parameter-Efficient Pre-training for Large Language Models. CoRR Kazuki Yano, Takumi Ito, Jun Suzuki
2025	J	`jnl`	Transformer Key-Value Memories Are Nearly as Interpretable as Sparse Autoencoders. CoRR Mengyu Ye, Jun Suzuki, Tatsuro Inaba, Tatsuki Kuribayashi
2025	A*	`conf`	VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents. CVPR Ryota Tanaka, Taichi Iki, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Jun Suzuki
2025	J	`jnl`	VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents. CoRR Ryota Tanaka, Taichi Iki, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Jun Suzuki
2024	—	`conf`	A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems. ACL (Findings) Shiki Sato, Reina Akama, Jun Suzuki, Kentaro Inui
2024	J	`jnl`	A Large Collection of Model-generated Contradictory Responses for Consistency-aware Dialogue Systems. CoRR Shiki Sato, Reina Akama, Jun Suzuki, Kentaro Inui
2024	J	`jnl`	Achievements and Challenges in Japanese Question Answering: Insights from Quiz Competition Results. J. Nat. Lang. Process. Tomoki Ariyama, Jun Suzuki, Masatoshi Suzuki, Ryota Tanaka, Reina Akama, Kyosuke Nishida
2024	J	`jnl`	An Investigation of Warning Erroneous Chat Translations in Cross-lingual Communication. CoRR Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Kentaro Inui
2024	J	`jnl`	Can Input Attributions Interpret the Inductive Reasoning Process Elicited in In-Context Learning? CoRR Mengyu Ye, Tatsuki Kuribayashi, Goro Kobayashi, Jun Suzuki
2024	—	`conf`	Detecting Response Generation Not Requiring Factual Judgment. NAACL (Student Research Workshop) Ryohei Kamei, Daiki Shiono, Reina Akama, Jun Suzuki
2024	J	`jnl`	Detecting Response Generation Not Requiring Factual Judgment. CoRR Ryohei Kamei, Daiki Shiono, Reina Akama, Jun Suzuki
2024	—	`conf`	Document-level Translation with LLM Reranking: Team-J at WMT 2024 General Translation Task. WMT 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
2024	J	`jnl`	Empirical Analysis of Large Vision-Language Models against Goal Hijacking via Visual Prompt Injection. CoRR Subaru Kimura, Ryota Tanaka, Shumpei Miyawaki, Jun Suzuki, Keisuke Sakaguchi
2024	A*	`conf`	InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions. AAAI Ryota Tanaka, Taichi Iki, Kyosuke Nishida, Kuniko Saito, Jun Suzuki
2024	J	`jnl`	InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions. CoRR Ryota Tanaka, Taichi Iki, Kyosuke Nishida, Kuniko Saito, Jun Suzuki
2024	J	`jnl`	LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs. CoRR 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
2024	J	`jnl`	LLM-jp: Inter-organizational Project for the Development of Japanese Large Language Models. J. Nat. Lang. Process. Daisuke Kawahara, Yohei Kuga, Sadao Kurohashi, Jun Suzuki, Yusuke Miyao
2024	J	`jnl`	MQM-Chat: Multidimensional Quality Metrics for Chat Translation. CoRR Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Kentaro Inui
2024	—	`conf`	Pruning Multilingual Large Language Models for Multilingual Inference. EMNLP (Findings) Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi
2024	J	`jnl`	Pruning Multilingual Large Language Models for Multilingual Inference. CoRR Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi
2024	—	`conf`	STEP: Staged Parameter-Efficient Pre-training for Large Language Models. ACL (Student Research Workshop) Kazuki Yano, Takumi Ito, Jun Suzuki
2024	—	`conf`	The Impact of Integration Step on Integrated Gradients. EACL (Student Research Workshop) Masahiro Makino, Yuya Asazuma, Shota Sasaki, Jun Suzuki
2024	—	`conf`	Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond. BEA Masato Mita, Keisuke Sakaguchi, Masato Hagiwara, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui
2023	A*	`conf`	A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video. EMNLP Keito Kudo, Haruki Nagasawa, Jun Suzuki, Nobuyuki Shimizu
2023	J	`jnl`	A Challenging Multimodal Video Summary: Simultaneously Extracting and Generating Keyframe-Caption Pairs from Video. CoRR Keito Kudo, Haruki Nagasawa, Jun Suzuki, Nobuyuki Shimizu
2023	J	`jnl`	Aoba_v3 bot: a multimodal chatbot system combining rules and various response generation models. Adv. Robotics Shoji Moriya, Daiki Shiono, Riki Fujihara, Yosuke Kishinami, Subaru Kimura, Shusaku Sone, Reina Akama, Yuta Matsumoto, Jun Suzuki, Kentaro Inui
2023	A*	`conf`	Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism. EMNLP Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Goro Kobayashi, Hiroaki Funayama
2023	J	`jnl`	Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism. CoRR Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Goro Kobayashi, Hiroaki Funayama
2023	—	`conf`	B2T Connection: Serving Stability and Performance in Deep Transformers. ACL (Findings) Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki
2023	J	`jnl`	Chat Translation Error Detection for Assisting Cross-lingual Communications. CoRR Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Ryoko Tokuhisa, Ana Brassard, Kentaro Inui
2023	J	`jnl`	Examining the effect of whitening on static and contextualized word embeddings. Inf. Process. Manag. Shota Sasaki, Benjamin Heinzerling, Jun Suzuki, Kentaro Inui
2023	J	`jnl`	Exploring the Robustness of Large Language Models for Solving Programming Problems. CoRR Atsushi Shirafuji, Yutaka Watanobe, Takumi Ito, Makoto Morishita, Yuki Nakamura, Yusuke Oda, Jun Suzuki
2023	J	`jnl`	Extracting representative subset from extensive text data for training pre-trained language models. Inf. Process. Manag. Jun Suzuki, Heiga Zen, Hideto Kazawa
2023	—	`conf`	Hunt for Buried Treasures: Extracting Unclaimed Embodiments from Patent Specifications. ACL (industry) Chikara Hashimoto, Gautam Kumar, Shuichiro Hashimoto, Jun Suzuki
2023	—	`conf`	Investigating the Effectiveness of Multiple Expert Models Collaboration. EMNLP (Findings) Ikumi Ito, Takumi Ito, Jun Suzuki, Kentaro Inui
2023	C	`conf`	Refactoring Programs Using Large Language Models with Few-Shot Examples. APSEC Atsushi Shirafuji, Yusuke Oda, Jun Suzuki, Makoto Morishita, Yutaka Watanobe
2023	J	`jnl`	Refactoring Programs Using Large Language Models with Few-Shot Examples. CoRR Atsushi Shirafuji, Yusuke Oda, Jun Suzuki, Makoto Morishita, Yutaka Watanobe
2023	—	`conf`	SKIM at WMT 2023 General Translation Task. WMT Keito Kudo, Takumi Ito, Makoto Morishita, Jun Suzuki
2023	J	`jnl`	Spike No More: Stabilizing the Pre-training of Large Language Models. CoRR Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki
2023	A*	`conf`	Use of an AI-powered Rewriting Support Software in Context with Other Tools: A Study of Non-Native English Speakers. UIST Takumi Ito, Naomi Yamashita, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Ge Gao, Jack Jamieson, Kentaro Inui
2022	—	`conf`	Balancing Cost and Quality: An Exploration of Human-in-the-Loop Frameworks for Automated Short Answer Scoring. AIED (1) Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui
2022	J	`jnl`	Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer Scoring. CoRR Hiroaki Funayama, Tasuku Sato, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui
2022	—	`conf`	Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems. AACL/IJCNLP 2022 (Student Research Workshop) Shiki Sato, Yosuke Kishinami, Hiroaki Sugiyama, Reina Akama, Ryoko Tokuhisa, Jun Suzuki
2022	J	`jnl`	Bipartite-play Dialogue Collection for Practical Automatic Evaluation of Dialogue Systems. CoRR Shiki Sato, Yosuke Kishinami, Hiroaki Sugiyama, Reina Akama, Ryoko Tokuhisa, Jun Suzuki
2022	—	`conf`	Chat Translation Error Detection for Assisting Cross-lingual Communications. Eval4NLP Yunmeng Li, Jun Suzuki, Makoto Morishita, Kaori Abe, Ryoko Tokuhisa, Ana Brassard, Kentaro Inui
2022	J	`jnl`	Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model. CoRR Sosuke Kobayashi, Shun Kiyono, Jun Suzuki, Kentaro Inui
2022	—	`conf`	Domain Adaptation of Machine Translation with Crowdworkers. EMNLP (Industry Track) Makoto Morishita, Jun Suzuki, Masaaki Nagata
2022	J	`jnl`	Domain Adaptation of Machine Translation with Crowdworkers. CoRR Makoto Morishita, Jun Suzuki, Masaaki Nagata
2022	B	`conf`	JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus. LREC Makoto Morishita, Katsuki Chousa, Jun Suzuki, Masaaki Nagata
2022	J	`jnl`	JParaCrawl v3.0: A Large-scale English-Japanese Parallel Corpus. CoRR Makoto Morishita, Katsuki Chousa, Jun Suzuki, Masaaki Nagata
2022	B	`conf`	N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models. SIGDIAL Shiki Sato, Reina Akama, Hiroki Ouchi, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui
2022	J	`jnl`	N-best Response-based Analysis of Contradiction-awareness in Neural Response Generation Models. CoRR Shiki Sato, Reina Akama, Hiroki Ouchi, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui
2022	—	`conf`	NT5 at WMT 2022 General Translation Task. WMT Makoto Morishita, Keito Kudo, Yui Oka, Katsuki Chousa, Shun Kiyono, Sho Takase, Jun Suzuki
2022	J	`jnl`	On Layer Normalizations and Residual Connections in Transformers. CoRR Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki
2022	C	`conf`	Prompt Sensitivity of Language Model for Solving Programming Problems. SoMeT Atsushi Shirafuji, Takumi Ito, Makoto Morishita, Yuki Nakamura, Yusuke Oda, Jun Suzuki, Yutaka Watanobe
2022	—	`conf`	Scene-Text Aware Image and Text Retrieval with Dual-Encoder. ACL (student) Shumpei Miyawaki, Taku Hasegawa, Kyosuke Nishida, Takuma Kato, Jun Suzuki
2022	B	`conf`	Target-Guided Open-Domain Conversation Planning. COLING Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui
2022	J	`jnl`	Target-Guided Open-Domain Conversation Planning. CoRR Yosuke Kishinami, Reina Akama, Shiki Sato, Ryoko Tokuhisa, Jun Suzuki, Kentaro Inui
2022	J	`jnl`	Towards Automated Document Revision: Grammatical Error Correction, Fluency Edits, and Beyond. CoRR Masato Mita, Keisuke Sakaguchi, Masato Hagiwara, Tomoya Mizumoto, Jun Suzuki, Kentaro Inui
2021	—	`conf`	Adaptive User Interface for Smart Programming Exercise. TALE Yutaka Watanobe, Md. Mostafizer Rahman, Alexander Vazhenin, Jun Suzuki
2021	J	`jnl`	An Investigation Between Schema Linking and Text-to-SQL Performance. CoRR Yasufumi Taniguchi, Hiroki Nakayama, Takahiro Kubo, Jun Suzuki
2021	A	`conf`	Context-aware Neural Machine Translation with Mini-batch Embedding. EACL Makoto Morishita, Jun Suzuki, Tomoharu Iwata, Masaaki Nagata
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`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR 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 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
2021	—	`conf`	SHAPE : Shifted Absolute Position Embedding for Transformers. EMNLP (1) Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui
2021	J	`jnl`	SHAPE: Shifted Absolute Position Embedding for Transformers. CoRR Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui
2021	J	`jnl`	Subword-Based Compact Reconstruction for Open-Vocabulary Neural Word Embeddings. IEEE ACM Trans. Audio Speech Lang. Process. Shota Sasaki, Jun Suzuki, Kentaro Inui
2020	—	`conf`	A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. EMNLP (Findings) Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, Kentaro Inui
2020	J	`jnl`	A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction. CoRR Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, 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	—	`conf`	Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition. ACL (student) Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki, Kentaro Inui
2020	J	`jnl`	Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition. CoRR Takuma Kato, Kaori Abe, Hiroki Ouchi, Shumpei Miyawaki, Jun Suzuki, Kentaro Inui
2020	A*	`conf`	Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction. ACL Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, Kentaro Inui
2020	J	`jnl`	Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction. CoRR Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, Kentaro Inui
2020	A*	`conf`	Evaluating Dialogue Generation Systems via Response Selection. ACL Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki, Kentaro Inui
2020	J	`jnl`	Evaluating Dialogue Generation Systems via Response Selection. CoRR Shiki Sato, Reina Akama, Hiroki Ouchi, Jun Suzuki, 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`	JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus. LREC Makoto Morishita, Jun Suzuki, Masaaki Nagata
2020	—	`conf`	Langsmith: An Interactive Academic Text Revision System. EMNLP (Demos) Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui
2020	J	`jnl`	Langsmith: An Interactive Academic Text Revision System. CoRR Takumi Ito, Tatsuki Kuribayashi, Masatoshi Hidaka, Jun Suzuki, Kentaro Inui
2020	A*	`conf`	Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. ACL Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki, Kentaro Inui
2020	J	`jnl`	Language Models as an Alternative Evaluator of Word Order Hypotheses: A Case Study in Japanese. CoRR Tatsuki Kuribayashi, Takumi Ito, Jun Suzuki, Kentaro Inui
2020	J	`jnl`	Massive Exploration of Pseudo Data for Grammatical Error Correction. IEEE ACM Trans. Audio Speech Lang. Process. Shun Kiyono, Jun Suzuki, Tomoya Mizumoto, Kentaro Inui
2020	—	`conf`	NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 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 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
2020	B	`conf`	PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. COLING Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui
2020	J	`jnl`	PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated Contents. CoRR Ryo Fujii, Masato Mita, Kaori Abe, Kazuaki Hanawa, Makoto Morishita, Jun Suzuki, Kentaro Inui
2020	—	`conf`	Preventing Critical Scoring Errors in Short Answer Scoring with Confidence Estimation. ACL (student) Hiroaki Funayama, Shota Sasaki, Yuichiroh Matsubayashi, Tomoya Mizumoto, Jun Suzuki, Masato Mita, Kentaro Inui
2020	A*	`conf`	Single Model Ensemble using Pseudo-Tags and Distinct Vectors. ACL Ryosuke Kuwabara, Jun Suzuki, Hideki Nakayama
2020	J	`jnl`	Single Model Ensemble using Pseudo-Tags and Distinct Vectors. CoRR Ryosuke Kuwabara, Jun Suzuki, Hideki Nakayama
2020	—	`conf`	Tohoku-AIP-NTT at WMT 2020 News Translation Task. WMT@EMNLP Shun Kiyono, Takumi Ito, Ryuto Konno, Makoto Morishita, Jun Suzuki
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
2019	—	`conf`	An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. EMNLP/IJCNLP (1) Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui
2019	J	`jnl`	An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction. CoRR Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui
2019	—	`conf`	An Empirical Study of Span Representations in Argumentation Structure Parsing. ACL (1) Tatsuki Kuribayashi, Hiroki Ouchi, Naoya Inoue, Paul Reisert, Toshinori Miyoshi, Jun Suzuki, Kentaro Inui
2019	A*	`conf`	Character n-Gram Embeddings to Improve RNN Language Models. AAAI Sho Takase, Jun Suzuki, Masaaki Nagata
2019	J	`jnl`	Character n-gram Embeddings to Improve RNN Language Models. CoRR Sho Takase, Jun Suzuki, Masaaki Nagata
2019	B	`conf`	Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. INLG Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui
2019	J	`jnl`	Diamonds in the Rough: Generating Fluent Sentences from Early-Stage Drafts for Academic Writing Assistance. CoRR Takumi Ito, Tatsuki Kuribayashi, Hayato Kobayashi, Ana Brassard, Masato Hagiwara, Jun Suzuki, Kentaro Inui
2019	—	`conf`	ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going Deeper. IWSLT Hirofumi Inaguma, Shun Kiyono, Nelson Enrique Yalta Soplin, Jun Suzuki, Kevin Duh, Shinji Watanabe
2019	—	`conf`	Effective Adversarial Regularization for Neural Machine Translation. ACL (1) Motoki Sato, Jun Suzuki, Shun Kiyono
2019	J	`jnl`	JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus. CoRR Makoto Morishita, Jun Suzuki, Masaaki Nagata
2019	A*	`conf`	Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework. AAAI Shun Kiyono, Jun Suzuki, Kentaro Inui
2019	—	`conf`	NTT Neural Machine Translation Systems at WAT 2019. WAT@EMNLP-IJCNLP Makoto Morishita, Jun Suzuki, Masaaki Nagata
2019	J	`jnl`	Personalized Visited-POI Assignment to Individual Raw GPS Trajectories. CoRR Jun Suzuki, Yoshihiko Suhara, Hiroyuki Toda, Kyosuke Nishida
2019	J	`jnl`	Personalized Visited-POI Assignment to Individual Raw GPS Trajectories. ACM Trans. Spatial Algorithms Syst. Jun Suzuki, Yoshihiko Suhara, Hiroyuki Toda, Kyosuke Nishida
2019	—	`conf`	Select and Attend: Towards Controllable Content Selection in Text Generation. EMNLP/IJCNLP (1) Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine
2019	J	`jnl`	Select and Attend: Towards Controllable Content Selection in Text Generation. CoRR Xiaoyu Shen, Jun Suzuki, Kentaro Inui, Hui Su, Dietrich Klakow, Satoshi Sekine
2019	—	`conf`	Subword-based Compact Reconstruction of Word Embeddings. NAACL-HLT (1) Shota Sasaki, Jun Suzuki, Kentaro Inui
2019	—	`conf`	TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. EMNLP/IJCNLP (3) Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui
2019	J	`jnl`	TEASPN: Framework and Protocol for Integrated Writing Assistance Environments. CoRR Masato Hagiwara, Takumi Ito, Tatsuki Kuribayashi, Jun Suzuki, Kentaro Inui
2019	—	`conf`	The AIP-Tohoku System at the BEA-2019 Shared Task. BEA@ACL Hiroki Asano, Masato Mita, Tomoya Mizumoto, Jun Suzuki
2019	—	`conf`	The Sally Smedley Hyperpartisan News Detector at SemEval-2019 Task 4. SemEval@NAACL-HLT Kazuaki Hanawa, Shota Sasaki, Hiroki Ouchi, Jun Suzuki, Kentaro Inui
2019	—	`conf`	Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis. EMNLP/IJCNLP (1) Hiroki Ouchi, Jun Suzuki, Kentaro Inui
2018	—	`conf`	An Empirical Study of Building a Strong Baseline for Constituency Parsing. ACL (2) Jun Suzuki, Sho Takase, Hidetaka Kamigaito, Makoto Morishita, Masaaki Nagata
2018	A*	`conf`	Direct Output Connection for a High-Rank Language Model. EMNLP Sho Takase, Jun Suzuki, Masaaki Nagata
2018	J	`jnl`	Direct Output Connection for a High-Rank Language Model. CoRR Sho Takase, Jun Suzuki, Masaaki Nagata
2018	B	`conf`	Improving Neural Machine Translation by Incorporating Hierarchical Subword Features. COLING Makoto Morishita, Jun Suzuki, Masaaki Nagata
2018	A*	`conf`	Interpretable Adversarial Perturbation in Input Embedding Space for Text. IJCAI Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto
2018	J	`jnl`	Interpretable Adversarial Perturbation in Input Embedding Space for Text. CoRR Motoki Sato, Jun Suzuki, Hiroyuki Shindo, Yuji Matsumoto
2018	J	`jnl`	Mixture of Expert/Imitator Networks: Scalable Semi-supervised Learning Framework. CoRR Shun Kiyono, Jun Suzuki, Kentaro Inui
2018	—	`conf`	NTT's Neural Machine Translation Systems for WMT 2018. WMT (shared task) Makoto Morishita, Jun Suzuki, Masaaki Nagata
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	C	`conf`	Reducing Odd Generation from Neural Headline Generation. PACLIC Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata
2018	—	`conf`	Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models. BlackboxNLP@EMNLP Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata
2017	—	`conf`	Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization. EACL (2) Jun Suzuki, Masaaki Nagata
2017	—	`conf`	Deep Reinforcement Learning with Hidden Layers on Future States. CGW@IJCAI Hirotaka Kameko, Jun Suzuki, Naoki Mizukami, Yoshimasa Tsuruoka
2017	—	`conf`	Enumeration of Extractive Oracle Summaries. EACL (1) Tsutomu Hirao, Masaaki Nishino, Jun Suzuki, Masaaki Nagata
2017	J	`jnl`	Enumeration of Extractive Oracle Summaries. CoRR Tsutomu Hirao, Masaaki Nishino, Jun Suzuki, Masaaki Nagata
2017	—	`conf`	Exploration Bonuses Based on Upper Confidence Bounds for Sparse Reward Games. ACG Naoki Mizukami, Jun Suzuki, Hirotaka Kameko, Yoshimasa Tsuruoka
2017	—	`conf`	Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels. IJCNLP(2) Itsumi Saito, Jun Suzuki, Kyosuke Nishida, Kugatsu Sadamitsu, Satoshi Kobashikawa, Ryo Masumura, Yuji Matsumoto, Junji Tomita
2017	—	`conf`	Input-to-Output Gate to Improve RNN Language Models. IJCNLP(2) Sho Takase, Jun Suzuki, Masaaki Nagata
2017	J	`jnl`	Input-to-Output Gate to Improve RNN Language Models. CoRR Sho Takase, Jun Suzuki, Masaaki Nagata
2017	—	`conf`	NTT Neural Machine Translation Systems at WAT 2017. WAT@IJCNLP Makoto Morishita, Jun Suzuki, Masaaki Nagata
2017	J	`jnl`	RNN-based Encoder-decoder Approach with Word Frequency Estimation. CoRR Jun Suzuki, Masaaki Nagata
2017	J	`jnl`	Source-side Prediction for Neural Headline Generation. CoRR Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata
2016	A*	`conf`	Learning Compact Neural Word Embeddings by Parameter Space Sharing. IJCAI Jun Suzuki, Masaaki Nagata
2016	A*	`conf`	Neural Headline Generation on Abstract Meaning Representation. EMNLP Sho Takase, Jun Suzuki, Naoaki Okazaki, Tsutomu Hirao, Masaaki Nagata
2016	—	`conf`	Phrase Table Pruning via Submodular Function Maximization. ACL (2) Masaaki Nishino, Jun Suzuki, Masaaki Nagata
2016	—	`conf`	Right-truncatable Neural Word Embeddings. HLT-NAACL Jun Suzuki, Masaaki Nagata
2016	J	`jnl`	Shift-reduce Spinal TAG Parsing with Dynamic Programming. Inf. Media Technol. Katsuhiko Hayashi, Jun Suzuki, Masaaki Nagata
2015	—	`conf`	A Unified Learning Framework of Skip-Grams and Global Vectors. ACL (2) Jun Suzuki, Masaaki Nagata
2015	J	`jnl`	Summarizing a Document by Trimming the Discourse Tree. IEEE ACM Trans. Audio Speech Lang. Process. Tsutomu Hirao, Masaaki Nishino, Yasuhisa Yoshida, Jun Suzuki, Norihito Yasuda, Masaaki Nagata
2014	A*	`conf`	Dependency-based Discourse Parser for Single-Document Summarization. EMNLP Yasuhisa Yoshida, Jun Suzuki, Tsutomu Hirao, Masaaki Nagata
2014	A*	`conf`	Fused Feature Representation Discovery for High-Dimensional and Sparse Data. AAAI Jun Suzuki, Masaaki Nagata
2014	A	`conf`	Restructuring output layers of deep neural networks using minimum risk parameter clustering. INTERSPEECH Yotaro Kubo, Jun Suzuki, Takaaki Hori, Atsushi Nakamura
2014	—	`conf`	SCT-D3 at the NTCIR-11 MedNLP-2 Task. NTCIR Akinori Fujino, Jun Suzuki, Tsutomu Hirao, Hisashi Kurasawa, Katsuyoshi Hayashi
2013	J	`jnl`	Lagrangian Relaxation for Scalable Text Summarization while Maximizing Multiple Objectives. Inf. Media Technol. Masaaki Nishino, Norihito Yasuda, Tsutomu Hirao, Jun Suzuki, Masaaki Nagata
2013	—	`conf`	NTT-NII Statistical Machine Translation for NTCIR-10 PatentMT. NTCIR Katsuhito Sudoh, Jun Suzuki, Hajime Tsukada, Masaaki Nagata, Sho Hoshino, Yusuke Miyao
2013	A*	`conf`	Shift-Reduce Word Reordering for Machine Translation. EMNLP Katsuhiko Hayashi, Katsuhito Sudoh, Hajime Tsukada, Jun Suzuki, Masaaki Nagata
2013	—	`conf`	Supervised Model Learning with Feature Grouping based on a Discrete Constraint. ACL (2) Jun Suzuki, Masaaki Nagata
2013	A	`conf`	Text Summarization while Maximizing Multiple Objectives with Lagrangian Relaxation. ECIR Masaaki Nishino, Norihito Yasuda, Tsutomu Hirao, Jun Suzuki, Masaaki Nagata
2012	—	`conf`	A Query-Focused Summarization Method that Guarantees the Inclusion of Query Words. DEXA Workshops Norihito Yasuda, Masaaki Nishino, Tsutomu Hirao, Jun Suzuki, Ryoji Kataoka
2011	B	`conf`	Distributed Minimum Error Rate Training of SMT using Particle Swarm Optimization. IJCNLP Jun Suzuki, Kevin Duh, Masaaki Nagata
2011	—	`conf`	Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning. ACL (2) Jun Suzuki, Hideki Isozaki, Masaaki Nagata
2009	—	`conf`	A Syntax-Free Approach to Japanese Sentence Compression. ACL/IJCNLP Tsutomu Hirao, Jun Suzuki, Hideki Isozaki
2009	A*	`conf`	An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing. EMNLP Jun Suzuki, Hideki Isozaki, Xavier Carreras, Michael Collins
2008	B	`conf`	Multi-label Text Categorization with Model Combination based on F1-score Maximization. IJCNLP Akinori Fujino, Hideki Isozaki, Jun Suzuki
2008	—	`conf`	NTT statistical machine translation system for IWSLT 2008. IWSLT Katsuhito Sudoh, Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki Isozaki
2008	A*	`conf`	Semi-Supervised Sequential Labeling and Segmentation Using Giga-Word Scale Unlabeled Data. ACL Jun Suzuki, Hideki Isozaki
2007	—	`conf`	Larger feature set approach for machine translation in IWSLT 2007. IWSLT Taro Watanabe, Jun Suzuki, Katsuhito Sudoh, Hajime Tsukada, Hideki Isozaki
2007	—	`conf`	Online Large-Margin Training for Statistical Machine Translation. EMNLP-CoNLL Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki Isozaki
2007	—	`conf`	Semi-Supervised Structured Output Learning Based on a Hybrid Generative and Discriminative Approach. EMNLP-CoNLL Jun Suzuki, Akinori Fujino, Hideki Isozaki
2006	J	`jnl`	Hierarchical directed acyclic graph kernel. Syst. Comput. Jpn. Jun Suzuki, Yutaka Sasaki, Eisaku Maeda
2006	—	`conf`	Identifying Bloggers' Residential Areas. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs Norihito Yasuda, Tsutomu Hirao, Jun Suzuki, Hideki Isozaki
2006	—	`conf`	NTT statistical machine translation for IWSLT 2006. IWSLT Taro Watanabe, Jun Suzuki, Hajime Tsukada, Hideki Isozaki
2006	A*	`conf`	Training Conditional Random Fields with Multivariate Evaluation Measures. ACL Jun Suzuki, Erik McDermott, Hideki Isozaki
2005	A*	`conf`	Boosting-based Parse Reranking with Subtree Features. ACL Taku Kudo, Jun Suzuki, Hideki Isozaki
2005	—	`conf`	Sequence and Tree Kernels with Statistical Feature Mining. NIPS Jun Suzuki, Hideki Isozaki
2005	—	`conf`	The NTT statistical machine translation system for IWSLT2005. IWSLT Hajime Tsukada, Taro Watanabe, Jun Suzuki, Hideto Kazawa, Hideki Isozaki
2004	A*	`conf`	Convolution Kernels with Feature Selection for Natural Language Processing Tasks. ACL Jun Suzuki, Hideki Isozaki, Eisaku Maeda
2004	B	`conf`	Dependency-based Sentence Alignment for Multiple Document Summarization. COLING Tsutomu Hirao, Jun Suzuki, Hideki Isozaki, Eisaku Maeda
2003	A*	`conf`	Hierarchical Directed Acyclic Graph Kernel: Methods for Structured Natural Language Data. ACL Jun Suzuki, Tsutomu Hirao, Yutaka Sasaki, Eisaku Maeda
2003	—	`conf`	Kernels for Structured Natural Language Data. NIPS Jun Suzuki, Yutaka Sasaki, Eisaku Maeda
2002	B	`conf`	SVM Answer Selection for Open-Domain Question Answering. COLING Jun Suzuki, Yutaka Sasaki, Eisaku Maeda