Estimating Reliability of Contextual Evidences in Decision-List Classifiers under Bayesian Learning. - Yoshimasa Tsuruoka; Takashi Chikayama (NLPRS, 2001)

Game-tree Search Algorithm based on Realization Probability. - Yoshimasa Tsuruoka; Daisaku Yokoyama; Takashi Chikayama (J. Int. Comput. Games Assoc., 2002)

Boosting Precision and Recall of Dictionary-Based Protein Name Recognition. - Yoshimasa Tsuruoka; Jun'ichi Tsujii (BioNLP@ACL, 2003)

Training a Naive Bayes Classifier via the EM Algorithm with a Class Distribution Constraint. - Yoshimasa Tsuruoka; Jun'ichi Tsujii (CoNLL, 2003)

Probabilistic term variant generator for biomedical terms. - Yoshimasa Tsuruoka; Jun'ichi Tsujii (SIGIR, 2003)

Indexing anatomical concepts to OMIM Clinical Synopsis using UMLS Metathesaurus. - Teruyoshi Hishiki; Osamu Ogasawara; Yoshimasa Tsuruoka; Kousaku Okubo (Silico Biol., 2003)

Iterative CKY Parsing for Probabilistic Context-Free Grammars. - Yoshimasa Tsuruoka; Jun'ichi Tsujii (IJCNLP, 2004)

Improving the performance of dictionary-based approaches in protein name recognition. - Yoshimasa Tsuruoka; Jun'ichi Tsujii (J. Biomed. Informatics, 2004)

A Machine Learning Approach to Acronym Generation. - Yoshimasa Tsuruoka; Sophia Ananiadou; Jun'ichi Tsujii (LBLODMBS@IDMB, 2005)

Efficacy of Beam Thresholding, Unification Filtering and Hybrid Parsing in Probabilistic HPSG Parsing. - Takashi Ninomiya; Yoshimasa Tsuruoka; Yusuke Miyao; Jun'ichi Tsujii (IWPT, 2005)

Chunk Parsing Revisited. - Yoshimasa Tsuruoka; Jun'ichi Tsujii (IWPT, 2005)

Bidirectional Inference with the Easiest-First Strategy for Tagging Sequence Data. - Yoshimasa Tsuruoka; Jun'ichi Tsujii (HLT/EMNLP, 2005)

Developing a Robust Part-of-Speech Tagger for Biomedical Text. - Yoshimasa Tsuruoka; Yuka Tateishi; Jin-Dong Kim; Tomoko Ohta; John McNaught; Sophia Ananiadou; Jun'ichi Tsujii (Panhellenic Conference on Informatics, 2005)

Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases. - Yusuke Miyao; Tomoko Ohta; Katsuya Masuda; Yoshimasa Tsuruoka; Kazuhiro Yoshida; Takashi Ninomiya; Jun'ichi Tsujii (ACL, 2006)

An Intelligent Search Engine and GUI-based Efficient MEDLINE Search Tool Based on Deep Syntactic Parsing. - Tomoko Ohta; Yusuke Miyao; Takashi Ninomiya; Yoshimasa Tsuruoka; Akane Yakushiji; Katsuya Masuda; Jumpei Takeuchi; Kazuhiro Yoshida; Tadayoshi Hara; Jin-Dong Kim; Yuka Tateisi; Jun'ichi Tsujii (ACL, 2006)

Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition. - Daisuke Okanohara; Yusuke Miyao; Yoshimasa Tsuruoka; Jun'ichi Tsujii (ACL, 2006)

Subdomain adaptation of a POS tagger with a small corpus. - Yuka Tateisi; Yoshimasa Tsuruoka; Jun'ichi Tsujii (BioNLP@NAACL-HLT, 2006)

Extremely Lexicalized Models for Accurate and Fast HPSG Parsing. - Takashi Ninomiya; Takuya Matsuzaki; Yoshimasa Tsuruoka; Yusuke Miyao; Jun'ichi Tsujii (EMNLP, 2006)

Extraction of Gene-Disease Relations from Medline Using Domain Dictionaries and Machine Learning. - Hong-Woo Chun; Yoshimasa Tsuruoka; Jin-Dong Kim; Rie Shiba; Naoki Nagata; Teruyoshi Hishiki; Jun'ichi Tsujii (Pacific Symposium on Biocomputing, 2006)

Automatic Recognition of Topic-Classified Relations between Prostate Cancer and Genes from Medline Abstracts. - Hong-Woo Chun; Yoshimasa Tsuruoka; Jin-Dong Kim; Rie Shiba; Naoki Nagata; Teruyoshi Hishiki; Jun'ichi Tsujii (SMBM, 2006)

Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts. - Hong-Woo Chun; Yoshimasa Tsuruoka; Jin-Dong Kim; Rie Shiba; Naoki Nagata; Teruyoshi Hishiki; Jun'ichi Tsujii (BMC Bioinform., 2006)

GeneTUC, GENIA and Google: Natural Language Understanding in Molecular Biology Literature. - Rune Sætre; Harald Søvik; Tore Amble; Yoshimasa Tsuruoka (Trans. Comp. Sys. Biology, 2006)

An Annotation Type System for a Data-Driven NLP Pipeline. - Udo Hahn; Ekaterina Buyko; Katrin Tomanek; Scott Piao; John McNaught; Yoshimasa Tsuruoka; Sophia Ananiadou (LAW@ACL, 2007)

Move Prediction in Go with the Maximum Entropy Method. - Nobuo Araki; Kazuhiro Yoshida; Yoshimasa Tsuruoka; Jun'ichi Tsujii (CIG, 2007)

Ambiguous Part-of-Speech Tagging for Improving Accuracy and Domain Portability of Syntactic Parsers. - Kazuhiro Yoshida; Yoshimasa Tsuruoka; Yusuke Miyao; Jun'ichi Tsujii (IJCAI, 2007)

Learning string similarity measures for gene/protein name dictionary look-up using logistic regression. - Yoshimasa Tsuruoka; John McNaught; Jun'ichi Tsujii; Sophia Ananiadou (Bioinform., 2007)

Modeling Latent-Dynamic in Shallow Parsing: A Latent Conditional Model with Imrpoved Inference. - Xu Sun 001; Louis-Philippe Morency; Daisuke Okanohara; Yoshimasa Tsuruoka; Jun'ichi Tsujii (COLING, 2008)

A Discriminative Candidate Generator for String Transformations. - Naoaki Okazaki; Yoshimasa Tsuruoka; Sophia Ananiadou; Jun'ichi Tsujii (EMNLP, 2008)

Towards Data and Goal Oriented Analysis: Tool Inter-operability and Combinatorial Comparison. - Yoshinobu Kano; Ngan L. T. Nguyen; Rune Sætre; Kazuhiro Yoshida; Keiichiro Fukamachi; Yusuke Miyao; Yoshimasa Tsuruoka; Sophia Ananiadou; Jun'ichi Tsujii (IJCNLP, 2008)

Connecting Text Mining and Pathways using the PathText Resource. - Rune Sætre; Brian Kemper; Kanae Oda; Naoaki Okazaki; Yukiko Matsuoka; Norihiro Kikuchi; Hiroaki Kitano; Yoshimasa Tsuruoka; Sophia Ananiadou; Jun'ichi Tsujii (LREC, 2008)

Filling the Gaps Between Tools and Users: A Tool Comparator, Using Protein-Protein Interactions as an Example. - Yoshinobu Kano; Ngan L. T. Nguyen; Rune Sætre; Kazuhiro Yoshida; Yusuke Miyao; Yoshimasa Tsuruoka; Yuichiroh Matsubayashi; Sophia Ananiadou; Jun'ichi Tsujii (Pacific Symposium on Biocomputing, 2008)

Kleio: a knowledge-enriched information retrieval system for biology. - Chikashi Nobata; Philip Cotter; Naoaki Okazaki; Brian Rea; Yutaka Sasaki; Yoshimasa Tsuruoka; Jun'ichi Tsujii; Sophia Ananiadou (SIGIR, 2008)

FACTA: a text search engine for finding associated biomedical concepts. - Yoshimasa Tsuruoka; Jun'ichi Tsujii; Sophia Ananiadou (Bioinform., 2008)

How to make the most of NE dictionaries in statistical NER. - Yutaka Sasaki; Yoshimasa Tsuruoka; John McNaught; Sophia Ananiadou (BMC Bioinform., 2008)

Normalizing biomedical terms by minimizing ambiguity and variability. - Yoshimasa Tsuruoka; John McNaught; Sophia Ananiadou (BMC Bioinform., 2008)

Accelerating the annotation of sparse named entities by dynamic sentence selection. - Yoshimasa Tsuruoka; Jun'ichi Tsujii; Sophia Ananiadou (BMC Bioinform., 2008)

Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty. - Yoshimasa Tsuruoka; Jun'ichi Tsujii; Sophia Ananiadou (ACL/IJCNLP, 2009)

Fast Full Parsing by Linear-Chain Conditional Random Fields. - Yoshimasa Tsuruoka; Jun'ichi Tsujii; Sophia Ananiadou (EACL, 2009)

A Discriminative Latent Variable Chinese Segmenter with Hybrid Word/Character Information. - Xu Sun 001; Yao-zhong Zhang; Takuya Matsuzaki; Yoshimasa Tsuruoka; Jun'ichi Tsujii (HLT-NAACL, 2009)

HPSG Parsing with a Supertagger. - Takashi Ninomiya; Takuya Matsuzaki; Yusuke Miyao; Yoshimasa Tsuruoka; Jun'ichi Tsujii (Trends in Parsing Technology, 2010)

Improving Graph-based Dependency Parsing with Decision History. - Wenliang Chen; Jun'ichi Kazama; Yoshimasa Tsuruoka; Kentaro Torisawa (COLING (Posters), 2010)

PathText: a text mining integrator for biological pathway visualizations. - Brian Kemper; Takuya Matsuzaki; Yukiko Matsuoka; Yoshimasa Tsuruoka; Hiroaki Kitano; Sophia Ananiadou; Jun'ichi Tsujii (Bioinform., 2010)

Integration of metabolic databases for the reconstruction of genome-scale metabolic networks. - Karin Radrich; Yoshimasa Tsuruoka; Paul D. Dobson; Albert Gevorgyan; Neil Swainston; Gino Baart; Jean-Marc Schwartz (BMC Syst. Biol., 2010)

Extracting Bacteria Biotopes with Semi-supervised Named Entity Recognition and Coreference Resolution. - Nhung T. H. Nguyen 001; Yoshimasa Tsuruoka (BioNLP@ACL (Shared Task), 2011)

Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models? - Yoshimasa Tsuruoka; Yusuke Miyao; Jun'ichi Kazama (CoNLL, 2011)

SMT Helps Bitext Dependency Parsing. - Wenliang Chen; Jun'ichi Kazama; Min Zhang 005; Yoshimasa Tsuruoka; Yujie Zhang; Yiou Wang; Kentaro Torisawa; Haizhou Li 001 (EMNLP, 2011)

Poster: Analysis of gene ranking algorithms with extraction of relevant biomedical concepts from PubMed publications. - Simon Kocbek; Rune Sætre; Gregor Stiglic; Jin-Dong Kim; Igor Pernek; Yoshimasa Tsuruoka; Peter Kokol; Sophia Ananiadou; Jun'ichi Tsujii (ICCABS, 2011)

Improving Chinese Word Segmentation and POS Tagging with Semi-supervised Methods Using Large Auto-Analyzed Data. - Yiou Wang; Jun'ichi Kazama; Yoshimasa Tsuruoka; Wenliang Chen; Yujie Zhang; Kentaro Torisawa (IJCNLP, 2011)

AGRA: analysis of gene ranking algorithms. - Simon Kocbek; Rune Sætre; Gregor Stiglic; Jin-Dong Kim; Igor Pernek; Yoshimasa Tsuruoka; Peter Kokol; Sophia Ananiadou; Jun'ichi Tsujii (Bioinform., 2011)

Discovering and visualizing indirect associations between biomedical concepts. - Yoshimasa Tsuruoka; Makoto Miwa; Kaisei Hamamoto; Jun'ichi Tsujii; Sophia Ananiadou (Bioinform., 2011)

Bitext Dependency Parsing With Auto-Generated Bilingual Treebank. - Wenliang Chen; Jun'ichi Kazama; Min Zhang 005; Yoshimasa Tsuruoka; Yujie Zhang; Yiou Wang; Kentaro Torisawa; Haizhou Li 001 (IEEE Trans. Speech Audio Process., 2012)

Comparison Training of Shogi Evaluation Functions with Self-Generated Training Positions and Moves. - Akira Ura; Makoto Miwa; Yoshimasa Tsuruoka; Takashi Chikayama (Computers and Games, 2013)

Simple Customization of Recursive Neural Networks for Semantic Relation Classification. - Kazuma Hashimoto; Makoto Miwa; Yoshimasa Tsuruoka; Takashi Chikayama (EMNLP, 2013)

UTTime: Temporal Relation Classification using Deep Syntactic Features. - Natsuda Laokulrat; Makoto Miwa; Yoshimasa Tsuruoka; Takashi Chikayama (SemEval@NAACL-HLT, 2013)

A System-Design Outline of the Distributed-Shogi-System Akara 2010. - Kunihito Hoki; Tomoyuki Kaneko; Daisaku Yokoyama; Takuya Obata; Hiroshi Yamashita; Yoshimasa Tsuruoka; Takeshi Ito (SNPD, 2013)

Probabilistic Chinese word segmentation with non-local information and stochastic training. - Xu Sun 001; Yao-zhong Zhang; Takuya Matsuzaki; Yoshimasa Tsuruoka; Jun'ichi Tsujii (Inf. Process. Manag., 2013)

Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures. - Kazuma Hashimoto; Pontus Stenetorp; Makoto Miwa; Yoshimasa Tsuruoka (EMNLP, 2014)

Exploiting Timegraphs in Temporal Relation Classification. - Natsuda Laokulrat; Makoto Miwa; Yoshimasa Tsuruoka (TextGraphs@EMNLP, 2014)

Adapting Improved Upper Confidence Bounds for Monte-Carlo Tree Search. - Yun-Ching Liu; Yoshimasa Tsuruoka (ACG, 2015)

Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization. - Kazuma Hashimoto; Yoshimasa Tsuruoka (CVSC, 2015)

Learning a game commentary generator with grounded move expressions. - Hirotaka Kameko; Shinsuke Mori; Yoshimasa Tsuruoka (CIG, 2015)

Regulation of exploration for simple regret minimization in Monte-Carlo tree search. - Yun-Ching Liu; Yoshimasa Tsuruoka (CIG, 2015)

Building a computer Mahjong player based on Monte Carlo simulation and opponent models. - Naoki Mizukami; Yoshimasa Tsuruoka (CIG, 2015)

Task-Oriented Learning of Word Embeddings for Semantic Relation Classification. - Kazuma Hashimoto; Pontus Stenetorp; Makoto Miwa; Yoshimasa Tsuruoka (CoNLL, 2015)

Can Symbol Grounding Improve Low-Level NLP? Word Segmentation as a Case Study. - Hirotaka Kameko; Shinsuke Mori; Yoshimasa Tsuruoka (EMNLP, 2015)

Where Was Alexander the Great in 325 BC? Toward Understanding History Text with a World Model. - Yuki Murakami; Yoshimasa Tsuruoka (LSDSem@EMNLP, 2015)

Wide-coverage relation extraction from MEDLINE using deep syntax. - Nhung T. H. Nguyen 001; Makoto Miwa; Yoshimasa Tsuruoka; Takashi Chikayama; Satoshi Tojo (BMC Bioinform., 2015)

Identifying synonymy between relational phrases using word embeddings. - Nhung T. H. Nguyen 001; Makoto Miwa; Yoshimasa Tsuruoka; Satoshi Tojo (J. Biomed. Informatics, 2015)

Dynamic Prediction of Minimal Trees in Large-Scale Parallel Game Tree Search. - Akira Ura; Yoshimasa Tsuruoka; Takashi Chikayama (J. Inf. Process., 2015)

Tree-to-Sequence Attentional Neural Machine Translation. - Akiko Eriguchi; Kazuma Hashimoto; Yoshimasa Tsuruoka (ACL (1), 2016)

Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings. - Kazuma Hashimoto; Yoshimasa Tsuruoka (ACL (1), 2016)

Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation. - Akiko Eriguchi; Kazuma Hashimoto; Yoshimasa Tsuruoka (WAT@COLING, 2016)

Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation. - Kazuma Hashimoto; Akiko Eriguchi; Yoshimasa Tsuruoka (WAT@COLING, 2016)

A Japanese Chess Commentary Corpus. - Shinsuke Mori; John Richardson; Atsushi Ushiku; Tetsuro Sasada; Hirotaka Kameko; Yoshimasa Tsuruoka (LREC, 2016)

Domain Adaptation for Neural Networks by Parameter Augmentation. - Yusuke Watanabe; Kazuma Hashimoto; Yoshimasa Tsuruoka (Rep4NLP@ACL, 2016)

Asymmetric Move Selection Strategies in Monte-Carlo Tree Search: Minimizing the Simple Regret at Max Nodes. - Yun-Ching Liu; Yoshimasa Tsuruoka (CoRR, 2016)

Stacking Approach to Temporal Relation Classification with Temporal Inference. - Natsuda Laokulrat; Makoto Miwa; Yoshimasa Tsuruoka (Inf. Media Technol., 2016)

Modification of improved upper confidence bounds for regulating exploration in Monte-Carlo tree search. - Yun-Ching Liu; Yoshimasa Tsuruoka (Theor. Comput. Sci., 2016)

Exploration Bonuses Based on Upper Confidence Bounds for Sparse Reward Games. - Naoki Mizukami; Jun Suzuki 001; Hirotaka Kameko; Yoshimasa Tsuruoka (ACG, 2017)

Learning to Parse and Translate Improves Neural Machine Translation. - Akiko Eriguchi; Yoshimasa Tsuruoka; Kyunghyun Cho (ACL (2), 2017)

Neural Machine Translation with Source-Side Latent Graph Parsing. - Kazuma Hashimoto; Yoshimasa Tsuruoka (EMNLP, 2017)

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. - Kazuma Hashimoto; Caiming Xiong; Yoshimasa Tsuruoka; Richard Socher (EMNLP, 2017)

Deep Reinforcement Learning with Hidden Layers on Future States. - Hirotaka Kameko; Jun Suzuki 001; Naoki Mizukami; Yoshimasa Tsuruoka (CGW@IJCAI, 2017)

Neural Fictitious Self-Play in Imperfect Information Games with Many Players. - Keigo Kawamura; Naoki Mizukami; Yoshimasa Tsuruoka (CGW@IJCAI, 2017)

Cache Friendly Parallelization of Neural Encoder-Decoder Models Without Padding on Multi-core Architecture. - Yuchen Qiao; Kazuma Hashimoto; Akiko Eriguchi; Haixia Wang 001; Dongsheng Wang 002; Yoshimasa Tsuruoka; Kenjiro Taura (IPDPS Workshops, 2017)

A Hierarchical Neural Extractive Summarizer for Academic Papers. - Kazutaka Kinugawa; Yoshimasa Tsuruoka (JSAI-isAI Workshops, 2017)

Game State Retrieval with Keyword Queries. - Atsushi Ushiku; Shinsuke Mori; Hirotaka Kameko; Yoshimasa Tsuruoka (SIGIR, 2017)

Hierarchical Reinforcement Learning with Abductive Planning. - Kazeto Yamamoto; Takashi Onishi; Yoshimasa Tsuruoka (CoRR, 2018)

Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks. - Seydou Ba; Takuya Hiraoka; Takashi Onishi; Toru Nakata; Yoshimasa Tsuruoka (CoRR, 2018)

Multilingual Extractive Reading Comprehension by Runtime Machine Translation. - Akari Asai; Akiko Eriguchi; Kazuma Hashimoto; Yoshimasa Tsuruoka (CoRR, 2018)

Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients. - Takuya Hiraoka; Takashi Onishi; Takahisa Imagawa; Yoshimasa Tsuruoka (CoRR, 2018)

Partially Non-Recurrent Controllers for Memory-Augmented Neural Networks. - Naoya Taguchi; Yoshimasa Tsuruoka (CoRR, 2018)

Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation. - Go Yasui; Yoshimasa Tsuruoka; Masaaki Nagata (ACL (2), 2019)

Monte Carlo Tree Search with Variable Simulation Periods for Continuously Running Tasks. - Seydou Ba; Takuya Hiraoka; Takashi Onishi; Toru Nakata; Yoshimasa Tsuruoka (ICTAI, 2019)

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction. - Kazuma Hashimoto; Yoshimasa Tsuruoka (NAACL-HLT (1), 2019)

Learning Robust Options by Conditional Value at Risk Optimization. - Takuya Hiraoka; Takahisa Imagawa; Tatsuya Mori; Takashi Onishi; Yoshimasa Tsuruoka (NeurIPS, 2019)

Incorporating Source-Side Phrase Structures into Neural Machine Translation. - Akiko Eriguchi; Kazuma Hashimoto; Yoshimasa Tsuruoka (Comput. Linguistics, 2019)

Neural Fictitious Self-Play on ELF Mini-RTS. - Keigo Kawamura; Yoshimasa Tsuruoka (CoRR, 2019)

Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning. - Shumpei Kubosawa; Takashi Onishi; Yoshimasa Tsuruoka (CoRR, 2019)

Building a Computer Mahjong Player via Deep Convolutional Neural Networks. - Shiqi Gao; Fuminori Okuya; Yoshihiro Kawahara; Yoshimasa Tsuruoka (CoRR, 2019)

Optimistic Proximal Policy Optimization. - Takahisa Imagawa; Takuya Hiraoka; Yoshimasa Tsuruoka (CoRR, 2019)

Revisiting the Context Window for Cross-lingual Word Embeddings. - Ryokan Ri; Yoshimasa Tsuruoka (ACL, 2020)

Data Augmentation for Learning Bilingual Word Embeddings with Unsupervised Machine Translation. - Sosuke Nishikawa; Ryokan Ri; Yoshimasa Tsuruoka (CoRR, 2020)

Parallelizing and optimizing neural Encoder-Decoder models without padding on multi-core architecture. - Yuchen Qiao; Kazuma Hashimoto; Akiko Eriguchi; Haixia Wang 001; Dongsheng Wang 002; Yoshimasa Tsuruoka; Kenjiro Taura (Future Gener. Comput. Syst., 2020)

Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings. - Sosuke Nishikawa; Ryokan Ri; Yoshimasa Tsuruoka (ACL (student), 2021)

Zero-pronoun Data Augmentation for Japanese-to-English Translation. - Ryokan Ri; Toshiaki Nakazawa; Yoshimasa Tsuruoka (WAT@ACL/IJCNLP, 2021)

Meta-Model-Based Meta-Policy Optimization. - Takuya Hiraoka; Takahisa Imagawa; Voot Tangkaratt; Takayuki Osa; Takashi Onishi; Yoshimasa Tsuruoka (ACML, 2021)

Modeling Target-side Inflection in Placeholder Translation. - Ryokan Ri; Toshiaki Nakazawa; Yoshimasa Tsuruoka (MTSummit (1), 2021)

Non-steady-state Control under Disturbances: Navigating Plant Operation via Simulation-Based Reinforcement Learning. - Shumpei Kubosawa; Takashi Onishi; Yoshimasa Tsuruoka (SICE, 2021)

Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces. - Takahisa Imagawa; Takuya Hiraoka; Yoshimasa Tsuruoka (CoRR, 2021)

Utilizing Skipped Frames in Action Repeats via Pseudo-Actions. - Taisei Hashimoto; Yoshimasa Tsuruoka (CoRR, 2021)

Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models. - Ryokan Ri; Yoshimasa Tsuruoka (ACL (1), 2022)

mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models. - Ryokan Ri; Ikuya Yamada; Yoshimasa Tsuruoka (ACL (1), 2022)

A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification. - Sosuke Nishikawa; Ikuya Yamada; Yoshimasa Tsuruoka; Isao Echizen (CoNLL, 2022)

Dropout Q-Functions for Doubly Efficient Reinforcement Learning. - Takuya Hiraoka; Takahisa Imagawa; Taisei Hashimoto; Takashi Onishi; Yoshimasa Tsuruoka (ICLR, 2022)

EASE: Entity-Aware Contrastive Learning of Sentence Embedding. - Sosuke Nishikawa; Ryokan Ri; Ikuya Yamada; Yoshimasa Tsuruoka; Isao Echizen (NAACL-HLT, 2022)

Local Control is All You Need: Decentralizing and Coordinating Reinforcement Learning for Large-Scale Process Control. - Nicolas Bougie; Takashi Onishi; Yoshimasa Tsuruoka (SICE, 2022)

Off-Policy Meta-Reinforcement Learning With Belief-Based Task Inference. - Takahisa Imagawa; Takuya Hiraoka; Yoshimasa Tsuruoka (IEEE Access, 2022)

Railway Operation Rescheduling System via Dynamic Simulation and Reinforcement Learning. - Shumpei Kubosawa; Takashi Onishi; Makoto Sakahara; Yoshimasa Tsuruoka (CoRR, 2022)

Soft Sensors and Process Control using AI and Dynamic Simulation. - Shumpei Kubosawa; Takashi Onishi; Yoshimasa Tsuruoka (CoRR, 2022)

WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction. - Qiyu Wu 001; Masaaki Nagata; Yoshimasa Tsuruoka (ACL (1), 2023)

Unsupervised Discovery of Continuous Skills on a Sphere. - Takahisa Imagawa; Takuya Hiraoka; Yoshimasa Tsuruoka (CoRR, 2023)

Musical Scene Detection in Comics: Comparing Perception of Humans and GPT-4. - Megha Sharma; Muhammad Taimoor Haseeb; Gus Xia; Yoshimasa Tsuruoka (IEEE Big Data, 2024)

MJ-DLVAT: A Deep Learning Value Assessment Technique for Mahjong. - Takuya Ogami; Katsutoshi Amano; Yoshimasa Tsuruoka (CoG, 2024)

Cross-Domain Policy Transfer by Representation Alignment via Multi-Domain Behavioral Cloning. - Hayato Watahiki; Ryo Iwase; Ryosuke Unno; Yoshimasa Tsuruoka (CoLLAs, 2024)

Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding. - Kaiyan Zhao; Qiyu Wu 001; Xin-Qiang Cai; Yoshimasa Tsuruoka (EACL (1), 2024)

Word Alignment as Preference for Machine Translation. - Qiyu Wu 001; Masaaki Nagata; Zhongtao Miao; Yoshimasa Tsuruoka (EMNLP, 2024)

Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment. - Zhongtao Miao; Qiyu Wu 001; Kaiyan Zhao; Zilong Wu; Yoshimasa Tsuruoka (NAACL-HLT (Findings), 2024)

Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences. - Takuya Hiraoka; Guanquan Wang; Takashi Onishi; Yoshimasa Tsuruoka (CoRR, 2024)

Improving Arithmetic Reasoning Ability of Large Language Models through Relation Tuples, Verification and Dynamic Feedback. - Zhongtao Miao; Kaiyan Zhao; Yoshimasa Tsuruoka (CoRR, 2024)

M2M-Gen: A Multimodal Framework for Automated Background Music Generation in Japanese Manga Using Large Language Models. - Megha Sharma; Muhammad Taimoor Haseeb; Gus Xia; Yoshimasa Tsuruoka (CoRR, 2024)

Direct Quantized Training of Language Models with Stochastic Rounding. - Kaiyan Zhao; Tsuguchika Tabaru; Kenichi Kobayashi 001; Takumi Honda; Masafumi Yamazaki; Yoshimasa Tsuruoka (CoRR, 2024)

Planning with Consistency Models for Model-Based Offline Reinforcement Learning. - Guanquan Wang; Takuya Hiraoka; Yoshimasa Tsuruoka (Trans. Mach. Learn. Res., 2024)

Interpretable Imitation Learning with Symbolic Rewards. - Nicolas Bougie; Takashi Onishi; Yoshimasa Tsuruoka (ACM Trans. Intell. Syst. Technol., 2024)

Improving Word Alignment Using Semi-Supervised Learning. - Zhongtao Miao; Qiyu Wu 001; Masaaki Nagata; Yoshimasa Tsuruoka (ACL (Findings), 2025)

LatentPS: Image Editing Using Latent Representations in Diffusion Models. - Zilong Wu; Hideki Murata; Nayu Takahashi; Qiyu Wu 001; Yoshimasa Tsuruoka (WACV (Workshops), 2025)

Consistency Trajectory Planning: High-Quality and Efficient Trajectory Optimization for Offline Model-Based Reinforcement Learning. - Guanquan Wang; Takuya Hiraoka; Yoshimasa Tsuruoka (CoRR, 2025)

Improving Multimodal Contrastive Learning of Sentence Embeddings with Object-Phrase Alignment. - Kaiyan Zhao; Zhongtao Miao; Yoshimasa Tsuruoka (CoRR, 2025)