Research Papers
2024
- Predicting Potential Target Genes in Molecular Biology Experiments using Machine Learning and Multifaceted Data Sources.
Kei K. Ito, Yoshimasa Tsuruoka, and Daiju KitagawaKaiyan..
iScience. (link) (in press)
- Leveraging Multilingual Positive Instances in Contrastive Learning to Improve Sentence Embedding.
Kaiyan Zhao, Qiyu Wu, Xin-Qiang Cai, and Yoshimasa Tsuruoka.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2024). (link) (to appear)
2023
- Leveraging Behavioral Cloning for Representation Alignment in Cross-Domain Policy Transfer.
Hayato Watahiki, Ryo Iwase, Ryosuke Unno, and Yoshimasa Tsuruoka.
NeurIPS 2023 Workshop on Generalization in Planning (GenPlan'23). (link)
- Interpretable Imitation Learning with Symbolic Rewards.
Nicolas Bougie, Takashi Onishi, and Yoshimasa Tsuruoka.
ACM Transactions on Intelligent Systems and Technology. (link)
- WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction.
Qiyu Wu, Masaaki Nagata, and Yoshimasa Tsuruoka.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pp. 11084-11099. (link)
- Nonlinear Model Predictive Control using Neural ODE Replicas of Dynamic Simulators.
Shumpei Kubosawa1, Takashi Onishi, and Yoshimasa Tsuruoka.
Proceedings of the Asia Pacific Conference of the PHM Society 2023, Vol. 4 No. 1. (link)
- Shared communication for coordinated large-scale reinforcement learning control.
Nicolas Bougie, Takashi Onishi, and Yoshimasa Tsuruoka.
SICE Journal of Control, Measurement, and System Integration. (link)
- Unsupervised Discovery of Continuous Skills on a Sphere.
Takahisa Imagawa, Takuya Hiraoka, and Yoshimasa Tsuruoka.
arXiv:2305.14377. (link)
2022
- A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification.
Sosuke Nishikawa, Ikuya Yamada, Yoshimasa Tsuruoka, and Isao Echizen.
Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL), pp. 1-12. (link)
- Learning a Domain-Agnostic Policy through Adversarial Representation Matching for Cross-Domain Policy Transfer.
Hayato Watahiki, Ryo Iwase, Ryosuke Unno, and Yoshimasa Tsuruoka.
Deep Reinforcement Learning Workshop at NeurIPS 2022. (link)
- Memory-Efficient Reinforcement Learning with Priority based on Surprise and On-policyness.
Ryosuke Unno and Yoshimasa Tsuruoka.
Deep Reinforcement Learning Workshop at NeurIPS 2022. (link)
- Off-Policy Meta-Reinforcement Learning with Belief-based Task Inference.
Takahisa Imagawa, Takuya Hiraoka, and Yoshimasa Tsuruoka.
IEEE Access, Vol. 10, pp. 49494-49507. (link)
- EASE: Entity-Aware Contrastive Learning of Sentence Embedding.
Sosuke Nishikawa, Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka and Isao Echizen.
Proceedings of the 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), pp. 3870-3885. (link)
- Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models.
Ryokan Ri and Yoshimasa Tsuruoka.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 7302-7315. (link)
- mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models.
Ryokan Ri, Ikuya Yamada, and Yoshimasa Tsuruoka.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL), pp. 7316-7330. (link)
- One-Shot Imitation with Skill Chaining using a Goal-Conditioned Policy in Long-Horizon Control.
Hayato Watahiki and Yoshimasa Tsuruoka.
ICLR 2022 Workshop on Generalizable Policy Learning in the Physical World, 2022. (to appear)
- Dropout Q-Functions for Doubly Efficient Reinforcement Learning.
Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto, Takashi Onishi, and Yoshimasa Tsuruoka.
The Tenth International Conference on Learning Representations (ICLR). (link)
- Sim-to-real transfer in reinforcement learning-based, non-steady-state control for chemical plants.
Shumpei Kubosawa, Takashi Onishi, and Yoshimasa Tsuruoka.
SICE Journal of Control, Measurement, and System Integration, Vol. 15, No. 1. (link)
- HiRL: Dealing with Non-stationarity in Hierarchical Reinforcement Learning via High-level Relearning.
Yuhang Jiao and Yoshimasa Tsuruoka.
AAAI-22 Workshop on Reinforcement Learning in Games. (pdf)
- Railway Operation Rescheduling System via Dynamic Simulation and Reinforcement Learning.
Shumpei Kubosawa, Takashi Onishi, Makoto Sakahara, and Yoshimasa Tsuruoka.
arXiv preprint arXiv:2201.06276. (link)
2021
- Unsupervised Reinforcement Learning for Partially Observable Environments Using External Memory.
Mitsuhiko Nakamoto and Yoshimasa Tsuruoka.
NeurIPS 2021 Workshop on Ecological Theory of Reinforcement Learning. (pdf)
- Non-steady-state Control under Disturbances: Navigating Plant Operation via Simulation-Based Reinforcement Learning.
Shumpei Kubosawa, Takashi Onishi, and Yoshimasa Tsuruoka.
The 60th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE), pp. 799-806, 2021. (link)
- LEXAS: a web application for life science experiment search and suggestion.
Kei K Ito, Yoshimasa Tsuruoka, and Daiju Kitagawa.
bioRxiv doi:10.1101/2021.12.05.471323. (link) (website)
- Meta-Model-Based Meta-Policy Optimization.
Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, and Yoshimasa Tsuruoka.
Proceedings of the 13th Asian Conference on Machine Learning (ACML), pp. 129-144. (link)
- Computing operation procedures for chemical plants using whole-plant simulation models.
Shumpei Kubosawa, Takashi Onishi, and Yoshimasa Tsuruoka.
Control Engineering Practice, Volume 114, September 2021, 104878. (link)
- Controlling the Production Load of a Vinyl Acetate Monomer Plant by Deep Reinforcement Learning.
Taisei Hashimoto, Takashi Onishi, Takuya Hiraoka, and Yoshimasa Tsuruoka.
The 60th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).
- Modeling Target-side Inflection in Placeholder Translation.
Ryokan Ri, Toshiaki Nakazawa and Yoshimasa Tsuruoka.
Proceedings of the 18th Biennial Machine Translation Summit (MT Summit), pp. 231-242, 2021. (pdf)
- Data Augmentation with Unsupervised Machine Translation Improves
the Structural Similarity of Cross-lingual Word Embeddings.
Sosuke Nishikawa, Ryokan Ri and Yoshimasa Tsuruoka.
ACL-IJCNLP 2021 Student Research Workshop (SRW). (pdf)
- Zero-pronoun Data Augmentation for Japanese-to-English Translation.
Ryokan Ri, Toshiaki Nakazawa and Yoshimasa Tsuruoka.
Proceedings of the 8th Workshop on Asian Translation (WAT), pp. 117-123, 2021. (pdf)
2020
- Utilizing Skipped Frames in Action Repeats via Pseudo-Actions.
Taisei Hashimoto and Yoshimasa Tsuruoka.
Deep Reinforcement Learning Workshop at NeurIPS 2020. (pdf)
- Suggesting the gene to be investigated next in cellular biological experiments by text mining.
Kei Ito, Yoshimasa Tsuruoka and Daiju Kitagawa.
Fourth International Workshop on SCIentific DOCument Analysis (SCIDOCA2020).
- Meta-Model-Based Meta-Policy Optimization.
Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, and Yoshimasa Tsuruoka.
arXiv:2006.02608. (link)
- Data Augmentation for Learning Bilingual Word Embeddings with Unsupervised Machine Translation.
Sosuke Nishikawa, Ryokan Ri, and Yoshimasa Tsuruoka.
arXiv:2006.00262. (link)
- Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces.
Takahisa Imagawa, Takuya Hiraoka, and Yoshimasa Tsuruoka.
The 4th Lifelong Learning Workshop at ICML 2020. (link)
- Revisiting the Context Window for Cross-lingual Word Embeddings.
Ryokan Ri and Yoshimasa Tsuruoka.
Proceedings of ACL 2020. (link)
2019
- Learning Robust Options by Conditional Value at Risk Optimization.
Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori, Takashi Onishi, and Yoshimasa Tsuruoka.
Advances in Neural Information Processing Systems 32 (NeurIPS 2019). (link)
- Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks.
Seydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata, and Yoshimasa Tsuruoka.
Proceedings of the 31st International Conference on Tools with Artificial Intelligence (ICTAI).
- Optimistic Proximal Policy Optimization.
Takahisa Imagawa, Takuya Hiraoka, and Yoshimasa Tsuruoka.
Exploration in Reinforcement Learning Workshop at ICML 2019. (link)
- Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation.
Go Yasui, Yoshimasa Tsuruoka, and Masaaki Nagata.
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, pp. 400-406. (pdf)
- Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction.
Kazuma Hashimoto and Yoshimasa Tsuruoka.
NAACL-HLT 2019. (link)
- Incorporating Source-Side Phrase Structures into Neural Machine Translation.
Akiko Eriguchi, Kazuma Hashimoto, and Yoshimasa Tsuruoka.
Computational Linguistics, MIT Press. (link)
- Neural Fictitious Self-Play on ELF Mini-RTS.
Keigo Kawamura and Yoshimasa Tsuruoka.
AAAI-19 Workshop on Reinforcement Learning in Games. (link)
- Learning Task-Specific Representations of Environment Models in Deep Reinforcement Learning.
Yota Mizutani and Yoshimasa Tsuruoka.
AAAI-19 Workshop on Reinforcement Learning in Games. (link)
2018
- Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients.
Takuya Hiraoka, Takashi Onishi, Takahisa Imagawa, and Yoshimasa Tsuruoka.
IJCAI-ECAI 2018 Workshop on Learning & Reasoning (L&R 2018). (link)
- Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks.
Seydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata, and Yoshimasa Tsuruoka.
ICML/IJCAI/AAMAS 2018 Workshop on Planning and Learning (PAL-18). (link)
- Hierarchical Reinforcement Learning with Abductive Planning.
Kazeto Yamamoto, Takashi Onishi, and Yoshimasa Tsuruoka.
ICML/IJCAI/AAMAS 2018 Workshop on Planning and Learning (PAL-18). (link)
- Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning.
Shumpei Kubosawa, Takashi Onishi, and Yoshimasa Tsuruoka.
Proceedings of the SICE Annual Conference 2018, pp.1376-1379. (link)
- A Hierarchical Neural Extractive Summarizer for Academic Papers.
Kazutaka Kinugawa and Yoshimasa Tsuruoka.
New Frontiers in Artificial Intelligence. JSAI-isAI 2017. Lecture Notes in Computer Science, vol 10838. Springer. (link)
- Parallelizing and optimizing neural Encoder-Decoder models without padding on multi-core architecture.
Yuchen Qiao, Kazuma Hashimoto, Akiko Eriguchi, Haixia Wang, Dongsheng Wang, Yoshimasa Tsuruoka, KenjiroTaura.
Future Generation Computer Systems, Elsevier. (link)
2017
- Multilingual Extractive Reading Comprehension by Runtime Machine Translation.
Akari Asai, Akiko Eriguchi, Kazuma Hashimoto, and Yoshimasa Tsuruoka.
arXiv:1702.02265. (link)
- Neural Machine Translation with Source-Side Latent Graph Parsing.
Kazuma Hashimoto and Yoshimasa Tsuruoka.
Proceedings of EMNLP. (to appear) (link)
- A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks.
Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, and Richard Socher.
Proceedings of EMNLP. (to appear) (link)
- Deep Reinforcement Learning with Hidden Layers on Future States.
Hirotaka Kameko, Jun Suzuki, Naoki Mizukami, and Yoshimasa Tsuruoka.
Computer Games Workshop at IJCAI 2017. (pdf)
- Neural Fictitious Self-Play in Imperfect Information Games with Many Players.
Keigo Kawamura, Naoki Mizukami, Yoshimasa Tsuruoka.
Computer Games Workshop at IJCAI 2017. (pdf)
- Game State Retrieval with Keyword Queries.
Atsushi Ushiku, Shinsuke Mori, Hirotaka Kameko, and Yoshimasa Tsuruoka.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 877-880. (link)
- Learning to Parse and Translate Improves Neural Machine Translation.
Akiko Eriguchi, Yoshimasa Tsuruoka, and Kyunghyun Cho.
Proceedings of ACL (Volume 2: Short Papers), pp. 72-78. (pdf)
- Exploration Bonuses Based on Upper Confidence Bounds for Sparse Reward Games.
Naoki Mizukami, Jun Suzuki, Hirotaka Kameko, and Yoshimasa Tsuruoka.
Fifteenth International Conference on Advances in Computer Games (ACG 2017).
- Cache Friendly Parallelization of Neural Encoder-Decoder Models without Padding on Multi-core Architecture.
Yuchen Qiao, Kazuma Hashimoto, Akiko Eriguchi, Haxia Wang, Dongsheng Wang, Yoshimasa Tsuruoka, and Kenjiro Taura.
2017 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), pp. 437-440. (link)
2016
- Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation.
Kazuma Hashimoto, Akiko Eriguchi, and Yoshimasa Tsuruoka.
Proceedings of the 3rd Workshop on Asian Translation, pp. 75-83. (pdf)
- Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation.
Akiko Eriguchi, Kazuma Hashimoto, and Yoshimasa Tsuruoka.
Proceedings of the 3rd Workshop on Asian Translation, pp. 175-183. (pdf)
- Modification of improved upper confidence bounds for regulating exploration in Monte-Carlo tree search.
Yun-Ching Liu and and Yoshimasa Tsuruoka.
Theoretical Computer Science. (in press) (link)
- Domain Adaptation for Neural Networks by Parameter Augmentation.
Yusuke Watanabe, Kazuma Hashimoto, and Yoshimasa Tsuruoka.
Proceedings of the 1st Workshop on Representation Learning for NLP (RepL4NLP), pp. 249-257. (Best paper award) (pdf)
- Tree-to-Sequence Attentional Neural Machine Translation.
Akiko Eriguchi, Kazuma Hashimoto, and Yoshimasa Tsuruoka.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), pp. 823-833. (pdf)
- Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings.
Kazuma Hashimoto and Yoshimasa Tsuruoka.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), pp. 205-215. (pdf)
- Asymmetric Move Selection Strategies in Monte-Carlo Tree Search: Minimizing the Simple Regret at Max Nodes.
Yun-Ching Liu and Yoshimasa Tsuruoka.
arXiv:1605.02321. (link)
- A Japanese Chess Commentary Corpus.
Shinsuke Mori, John Richardson, Atsushi Ushiku, Tetsuro Sasada, Hirotaka Kameko and Yoshimasa Tsuruoka.
10th edition of the Language Resources and Evaluation Conference (LREC 2016).
2015
- Stacking Approach to Temporal Relation Classification with Temporal Inference.
Natsuda Laokulrat, Makoto Miwa and Yoshimasa Tsuruoka.
Journal of Natural Language Processing, Vol. 22, No. 3, pp. 171-196. (link)
- Can Symbol Grounding Improve Low-Level NLP? Word Segmentation as a Case Study.
Hirotaka Kameko, Shinsuke Mori and Yoshimasa Tsuroka.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing (EMNLP 2015), pp. 2298-2303. (pdf).
- Where Was Alexander the Great in 325 BC? Toward Understanding History Text with a World Model.
Yuki Murakami and Yoshimasa Tsuruoka.
Proceedings of the First Workshop on Linking Computational Models of Lexical, Sentential and Discourse-level Semantics (LSDSem), pp. 83-88. (pdf)
- Learning a Game Commentary Generator with Grounded Move Expressions.
Hirotaka Kameko, Shinsuke Mori and Yoshimasa Tsuruoka.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games (CIG), pp. 177-184. (pdf)
- Building a Computer Mahjong Player Based on Monte Carlo Simulation and Opponent Models.
Naoki Mizukami and Yoshimasa Tsuruoka.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games (CIG), pp. 275-283. (pdf)
- Regulation of Exploration for Simple Regret Minimization in Monte-Carlo Tree Search.
Yun-Ching Liu and Yoshimasa Tsuruoka.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games (CIG), pp. 35-42. (pdf)
- Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization.
Kazuma Hashimoto and Yoshimasa Tsuruoka.
Proceedings of the 3rd Workshop on Continuous Vector Space Models and their Compositionality (CVSC), pp. 1-11. (pdf)
- Task-Oriented Learning of Word Embeddings for Semantic Relation Classification.
Kazuma Hashimoto, Pontus Stenetorp, Makoto Miwa, and Yoshimasa Tsuruoka.
Proceedings of the 19th Conference on Computational Natural Language Learning (CoNLL-2015), pp. 268-278. (pdf)
- Adapting Improved Upper Confidence Bounds for Monte-Carlo Tree Search.
Yun-Ching Liu and Yoshimasa Tsuruoka.
Proceedings of the 14th International Conference on Advances in Computer Games (ACG2015). (link)
- Identifying synonymy between relational phrases using word embeddings.
Nhung T.H. Nguyen, Makoto Miwa, Yoshimasa Tsuruoka, and Satoshi Tojo.
Journal of Biomedical Informatics, Volume 56, pp. 94-102. (link)
- Wide-coverage relation extraction from MEDLINE using deep syntax.
Nhung TH Nguyen, Makoto Miwa, Yoshimasa Tsuruoka, Takashi Chikayama, and Satoshi Tojo.
BMC Bioinformatics 2015, 16:107. (link)
- Dynamic Prediction of Minimal Trees in Large-Scale Parallel Game Tree Search.
Akira Ura, Yoshimasa Tsuruoka, and Takashi Chikayama.
Journal of Information Processing, Vol. 23, No. 1, pp. 9-19. (link)
2014
- Exploiting Timegraphs in Temporal Relation Classification.
Natsuda Laokulrat, Makoto Miwa, and Yoshimasa Tsuruoka.
Proceedings of TextGraphs-9 Graph-based Methods for Natural Language Processing, pp. 6-14. (pdf)
- Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures.
Kazuma Hashimoto, Pontus Stenetorp, Makoto Miwa, and Yoshimasa Tsuruoka.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), pp. 1544-1555. (pdf)
- Automatic Generation of Shogi Commentary with a Log-linear Language Model.
Hirotaka Kameko, Makoto Miwa, Yoshimasa Tsuruoka, Shinsuke Mori, and Takashi Chikayama.
IPSJ Journal, Vol. 55, No. 11, pp. 2431-2440. (in Japanese) (link)
- Realizing a Four-Player Computer Mahjong Program by Supervised Learning with Isolated Multi-Player Aspects.
Naoki Mizukami, Ryotaro Nakahari, Akira Ura, Makoto Miwa, Yoshimasa Tsuruoka, and Takashi Chikayama.
IPSJ Journal, Vol. 55, No. 11, pp. 2410-2420. (in Japanese) (link)
2013
- Distributed-Shogi-System Akara 2010 and its Demonstration.
Kunihito Hoki, Tomoyuki Kaneko, Daisaku Yokoyama, Takuya Obata, Hiroshi Yamashita, Yoshimasa Tsuruoka, and Takeshi Ito.
International Journal of Computer & Information Science (IJCIS), 14(2), 55-63.
- Open Information Extraction from Biomedical Literature Using Predicate-Argument Structure Patterns.
Nhung T. H. Nguyen, Makoto Miwa, Yoshimasa Tsuruoka, and Satoshi Tojo.
Proceedings of the 5th International Symposium on Languages in Biology and Medicine (LBM 2013), pp. 51-55. (pdf)
- Simple Customization of Recursive Neural Networks for Semantic Relation Classification.
Kazuma Hashimoto, Makoto Miwa, Yoshimasa Tsuruoka, and Takashi Chikayama.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1372-1376. (pdf)
- Comparison Training of Shogi Evaluation Functions with Self-Generated Training Positions and Moves.
Akira Ura, Makoto Miwa, Yoshimasa Tsuruoka, and Takashi Chikayama.
Proceedings of the 8th International Conference on Computers and Games (CG2013). (pdf)
- A System Design Outline of the Distributed Shogi System Akara 2010.
Kunihito Hoki, Tomoyuki Kaneko, Daisaku Yokoyama, Takuya Obata, Hiroshi Yamashita, and Yoshimasa Tsuruoka.
Proceedings of the 14th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2013), pp. 466-471. (link)
- UTTime: Temporal Relation Classification using Deep Syntactic Features.
Natsuda Laokulrat, Makoto Miwa, Yoshimasa Tsuruoka, and Takashi Chikayama.
Proceedings of the International Workshop on Semantic Evaluation (SemEval-2013), pp. 88-92. (pdf)
- Probabilistic Chinese word segmentation with non-local information and stochastic training.
Xu Sun, Yaozhong Zhang, Takuya Matsuzaki, Yoshimasa Tsuruoka, and Jun'ichi Tsujii.
Information Processing & Management, Volume 49, Issue 3, pp. 626-636. (link)
2012
- Bitext Dependency Parsing With Auto-Generated Bilingual Treebank.
Wenliang Chen, Jun'ichi Kazama, Min Zhang, Yoshimasa Tsuruoka, Yujie
Zhang, Yiou Wang, Kentaro Torisawa, and Haizhou Li.
IEEE Transactions on Audio, Speech & Language Processing 20(5): 1461-1472 (2012) (link)
- Policy Learning in Monte-Carlo Shogi Using Simulation Balancing.
Eiji Seki, Makoto Miwa, Yoshimasa Tsuruoka, and Takashi Chikayama.
IPSJ Journal, Vol. 54, No. 11, pp. 2533-2543. (in Japanese)
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 and Kentaro Torisawa.
Proceedings of 5th International Joint Conference on Natural Language Processing (IJCNLP), pp. 309-317. (pdf)
- Discovering and visualizing indirect associations between biomedical concepts.
Yoshimasa Tsuruoka, Makoto Miwa, Kaisei Hamamoto, Jun'ichi Tsujii, and Sophia Ananiadou.
Bioinformatics, Vol. 27, Issue 13, pp. i111-i119. (link) (software)
- SMT Helps Bitext Dependency Parsing.
Wenliang Chen, Jun'ichi Kazama, Min Zhang, Yoshimasa Tsuruoka, Yujie Zhang, Yiou Wang, Kentaro Torisawa and Haizhou Li.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 73-83. (pdf)
- Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?
Yoshimasa Tsuruoka, Yusuke Miyao, and Jun'ichi Kazama.
Proceedings of the 15th Conference on Computational Natural Language Learning (CoNLL), pp. 238-246, Portland, USA, June 2011. (pdf) (slides) (software) (errata)
- Extracting Bacteria Biotopes with Semi-supervised Named Entity Recognition and Coreference Resolution.
Nhung T. H. Nguyen and Yoshimasa Tsuruoka.
Proceedings of BioNLP Shared Task 2011 Workshop, pp. 94-101, Portland, USA, June 2011. (pdf)
- AGRA: Analysis of Gene Ranking Algorithms.
Simon Kocbek, Rune Saetre, Gregor Stiglic, Jin-Dong Kim, Igor Pernek, Yoshimasa Tsuruoka, Peter Kokol, Sophia Ananiadou and Jun'ichi Tsujii.
Bioinformatics, Vol. 27, No. 8, pp. 1185-1186, 2011.
2010
- Improving Graph-based Dependency Parsing with Decision History.
Wenliang Chen, Jun'ichi Kazama, Yoshimasa Tsuruoka and Kentaro Torisawa.
Coling 2010: Posters, pp. 126-134.
- Integration of metabolic databases for the reconstruction of genome-scale metabolic networks.
Karin Radrich, Yoshimasa Tsuruoka, Paul Dobson, Albert Gevorgyan, Neil Swainston, Gino Baart and Jean-Marc Schwartz.
BMC Systems Biology 2010, 4:114. (link)
- PathText: a text mining integrator for biological pathway visualizations.
Brian Kemper, Takuya Matsuzaki, Yukiko Matsuoka, Yoshimasa Tsuruoka, Hiroaki Kitano, Sophia Ananiadou, and Jun'ichi Tsujii.
Bioinformatics, Vol. 26, Issue 12, pp. i374 - i381.
(link)
2009
- Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty.
Yoshimasa Tsuruoka, Jun'ichi Tsujii, and Sophia Ananiadou.
Proceedings of the Joint conference of the 47th Annual Meeting of the Association for Computational Linguistics and the 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing (ACL-IJCNLP 2009), pp. 477-485. (pdf) (slides) (software) (errata)
- A Discriminative Latent Variable Chinese Segmenter with Hybrid Word/Character Information.
Xu Sun, Yaozhong Zhang, Takuya Matsuzaki, Yoshimasa Tsuruoka, and Jun'ichi Tsujii.
Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL HLT 2009), pp. 56-64. (pdf)
- Fast Full Parsing by Linear-Chain Conditional Random Fields.
Yoshimasa Tsuruoka, Jun'ichi Tsujii, and Sophia Ananiadou.
Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2009), pp. 790-798. (pdf) (slides)
2008
- A Discriminative Candidate Generator for String Transformations.
Naoaki Okazaki, Yoshimasa Tsuruoka, Sophia Ananiadou, and Jun'ichi Tsujii.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (EMNLP 2008), pp. 447-456. (pdf)
- FACTA: a text search engine for finding associated biomedical concepts.
Yoshimasa Tsuruoka, Jun'ichi Tsujii, and Sophia Ananiadou.
Bioinformatics, Vol. 24, No. 21, pp. 2559-2560. (link)
- Accelerating the annotation of sparse named entities by dynamic sentence selection.
Yoshimasa Tsuruoka, Jun'ichi Tsujii, and Sophia Ananiadou.
BMC Bioinformatics, 9(Suppl 11):S8. (link)
- Accelerating the Annotation of Sparse Named Entities by Dynamic Sentence Selection.
Yoshimasa Tsuruoka, Jun'ichi Tsujii, and Sophia Ananiadou.
Proceedings of the ACL Workshop on BioNLP 2008, pp. 30-37. (pdf)
- How to make the most of NE dictionaries in statistical NER.
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, and Sophia Ananiadou.
BMC Bioinformatics, 9(Suppl 11):S5. (link)
- How to Make the Most of NE Dictionaries in Statistical NER.
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, and Sophia Ananiadou.
Proceedings of the ACL Workshop on BioNLP 2008, pp. 63-70. (pdf)
- Normalizing biomedical terms by minimizing ambiguity and variability.
Yoshimasa Tsuruoka, John McNaught, and Sophia Ananiadou.
BMC Bioinformatics 2008, 9(Suppl 3):S2. (link) (pdf)
- Filling the Gaps Between Tools and Users: A Tool Comparator, Using Protein-Protein Interactions as an Example.
Yoshinobu Kano, Ngan Nguyen, Rune Saetre, Kazuhiro Yoshida, Yusuke Miyao, Yoshimasa Tsuruoka, Yuichiro Matsubayashi, Sophia Ananiadou, and Jun'ichi Tsujii.
Proceedings of the Pacific Symposium on Biocomputing (PSB) 13:616-627. (pdf)
2007
- Learning string similarity measures for gene/protein name dictionary look-up using logistic regression.
Yoshimasa Tsuruoka, John McNaught, Jun'ichi Tsujii, and Sophia Ananiadou.
Bioinformatics, Vol. 23, No. 20, pp. 2768-2774.
(link) (pdf)
- An Annotation Type System for a Data-Driven NLP Pipeline.
Udo Hahn, Ekaterina Buyko, Katrin Tomanek, Scott Piao, John McNaught, Yoshimasa Tsuruoka, and Sophia Ananiadou.
Proceedings of the Linguistic Annotation Workshop, pp. 33-40.
(pdf).
- Move Prediction in Go with the Maximum Entropy Method.
Nobuo Araki, Kazuhiro Yoshida, Yoshimasa Tsuruoka, and Jun'ichi Tsujii.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games (CIG 2007), pp. 189-195.
(link)
- Ambiguous Part-of-Speech Tagging for Improving Accuracy and Domain Portability of Syntactic Parsers.
Kazuhiro Yoshida, Yoshimasa Tsuruoka, Yusuke Miyao, and Jun'ichi Tsujii.
Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07), pp. 1783-1788. (pdf)
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, and Jun'ichi Tsujii.
BMC Bioinformatics. 7(Suppl 3):S4. (link) (pdf)
- GeneTUC, GENIA and Google: Natural Language Understanding in Molecular Biology Literature.
Rune Saetre, Harald Sovik, Tore Amble, and Yoshimasa Tsuruoka.
Transactions on Computational Systems Biology V, LNCS 4070, pp. 68-82. (link)
- Extremely Lexicalized Models for Accurate and Fast HPSG Parsing.
Takashi Ninomiya, Takuya Matsuzaki, Yoshimasa Tsuruoka, Yusuke Miyao, and Jun'ichi Tsujii.
Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing (EMNLP 2006), pp. 155-163. (pdf)
- 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, and Jun'ichi Tsujii.
Proceedings of the COLING/ACL 2006 Interactive Presentation Sessions, pp. 17-20. (pdf)
- Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases.
Yusuke Miyao, Tomoko Ohta, Katsuya Masuda, Yoshimasa Tsuruoka, Kazuhiro Yoshida, Takashi Ninomiya, and Jun'ichi Tsujii.
Proceedings of COLING/ACL 2006, pp. 1017-1024. (pdf)
- Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition.
Daisuke Okanohara, Yusuke Miyao, Yoshimasa Tsuruoka, and Jun'ichi Tsujii.
Proceedings of COLING/ACL 2006, pp. 465-472. (pdf)
- Subdomain adaptation of a POS tagger with a small corpus.
Yuka Tateisi, Yoshimasa Tsuruoka, and Jun'ichi Tsujii.
Proceedings of the HLT-NAACL BioNLP Workshop on Linking Natural Language and Biology, pp. 136-137. (pdf)
- Fast and Scalable HPSG Parsing.
Takashi Ninomiya, Yoshimasa Tsuruoka, Yusuke Miyao, Kenjiro Taura and Jun'ichi Tsujii.
Traitement automatique des langues (TAL). 46(2). Association pour le Traitement Automatique des Langues.
- 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, and Jun'ichi Tsujii.
Proceedings of the Pacific Symposium on Biocomputing (PSB) 2006, pp. 4-15. (pdf)
2005
- Chunk Parsing Revisited.
Yoshimasa Tsuruoka and Jun'ichi Tsujii.
Proceedings of the 9th International Workshop on Parsing Technologies
(IWPT 2005), pp. 133-140. (pdf)
- Efficacy of Beam Thresholding, Unification Filtering and Hybrid Parsing in Probabilistic HPSG Parsing.
Takashi Ninomiya, Yoshimasa Tsuruoka, Yusuke Miyao, and Jun'ichi Tsujii.
Proceedings of the 9th International
Workshop on Parsing Technologies (IWPT 2005), pp. 103-114. (pdf)
- Bidirectional Inference with the Easiest-First Strategy for Tagging Sequence Data.
Yoshimasa Tsuruoka and Jun'ichi Tsujii.
Proceedings
of HLT/EMNLP 2005, pp. 467-474. (pdf)
- Developing a Robust Part-of-Speech Tagger for Biomedical Text.
Yoshimasa Tsuruoka, Yuka Tateishi, Jin-Dong Kim, Tomoko Ohta, John
McNaught, Sophia Ananiadou, and Jun'ichi Tsujii.
Advances in Informatics -
10th Panhellenic Conference on Informatics, LNCS 3746, pp. 382-392. (pdf)
- A Machine Learning Approach to Acronym Generation.
Yoshimasa Tsuruoka, Sophia Ananiadou, and Jun'ichi Tsujii.
Proceedings of the ACL-ISMB Workshop on Linking Biological Literature, Ontologies and Databases:
Mining Biological Semantics, pp. 25-31. (pdf)
2004
- Improving the Performance of Dictionary-based Approaches in Protein Name Recognition.
Yoshimasa Tsuruoka and Jun'ichi Tsujii.
Journal of
Biomedical Informatics, Vol 37, Issue 6, pp. 461-470. (link)
- Introduction to the Bio-Entity Recognition Task at JNLPBA.
Jin-Dong Kim, Tomoko Ohta, Yoshimasa Tsuruoka, Yuka Tateisi, and Nigel
Collier.
Proceedings of the International Workshop on Natural Language
Processing in Biomedicine and its Applications (JNLPBA-04), pp. 70-75. (pdf)
- Towards
efficient probabilistic HPSG parsing: integrating semantic and syntactic
preference to guide the parsing.
Yoshimasa Tsuruoka, Yusuke Miyao, and Jun'ichi Tsujii.
Proceedings of IJCNLP-04 Workshop:
Beyond shallow analyses - Formalisms and statistical modeling for deep
analyses. (pdf)
- Automatic Acquisition of Concept Relations from Web Documents with Sense Clustering.
Kenji Miura, Yoshimasa Tsuruoka, and Jun'ichi Tsujii.
Proceedings of IJCNLP-04 (Companion Volume), pp. 37-40. (pdf)
- Iterative CKY parsing for Probabilistic Context-Free Grammars.
Yoshimasa Tsuruoka and Jun'ichi Tsujii.
Proceedings of The First
International Joint Conference on Natural Language Processing (IJCNLP-04), pp.
414-419. (pdf)
(also in LNCS Vol. 3248/2005)
2003
- Indexing anatomical concepts to OMIM Clinical Synopsis using the UMLS
Metathesaurus.
Teruyoshi Hishiki, Osamu Ogasawara, Yoshimasa Tsuruoka, and Kousaku Okubo.
In Silico Biology, Vol 4. (link)
- Probabilistic Term Variant
Generator for Biomedical Terms.
Yoshimasa Tsuruoka and Jun'ichi Tsujii.
Proceedings of the 26th Annual
International ACM SIGIR Conference, pp. 167-173. (pdf)
- Automatic
Resolution of Ambiguous Abbreviations in Biomedical Texts using Support Vector
Machines and One Sense Per Discourse Hypothesis.
Zhonghua Yu, Yoshimasa Tsuruoka, and Jun'ichi Tsujii.
SIGIR'03 Workshop on
Text Analysis and Search for Bioinformatics, pp. 57-62. (pdf)
- Boosting Precision and
Recall of Dictionary-Based Protein Name Recognition.
Yoshimasa Tsuruoka and Jun'ichi Tsujii.
Proceedings of
the ACL-03 Workshop on Natural Language Processing in Biomedicine, pp. 41-48.
(pdf)
- Integration of Diverse Knowledge and Data into Biomedical Knowledge
Matrices.
Yoshimasa Tsuruoka, Teruyoshi Hishiki, Osamu Ogasawara, and Kousaku Okubo.
ISMB 2003 Text Mining Sig. (pdf)
- Training a Naive Bayes
Classifier via the EM Algorithm with a Class Distribution Constraint.
Yoshimasa Tsuruoka and Jun'ichi Tsujii.
Proceedings of the Seventh Conference on Natural Language Learning
(CoNLL), pp. 127-134. (pdf)
1997-2002
- Game-tree Search Algorithm based on Realization Probability.
Yoshimasa Tsuruoka, Daisaku Yokoyama, and Takashi Chikayama. (2002).
ICGA Journal, Vol. 25, No. 3, pp. 145-152. (pdf)
- Estimating Reliability of Rules in Decision Lists using Bayesian Learning.
Yoshimasa Tsuruoka and Takashi Chikayama. (2002).
Journal of Natural Language Processing, Vol. 9, No. 3. (in Japanese)
(preprint)
- Estimating
Reliability of Contextual Evidences in Decision-List Classifiers under
Bayesian Learning.
Yoshimasa Tsuruoka and Takashi Chikayama. (2001).
Proceedings of the Sixth Natural Language
Processing Pacific Rim Symposium (NLPRS), pp. 701-707. (pdf)
- Traction Control of Electric Vehicle: Basic Experimental Results Using the Test EV "UOT Electric March."
Yoichi Hori, Yasushi Toyoda, and Yoshimasa Tsuruoka. (1998).
IEEE Transactions on Industry Applications, Vol. 34,
No. 5, pp. 1131-1138. (link)
- Basic Study on Traction Control of Electric Vehicle.
Yoshimasa Tsuruoka, Yasushi Toyoda, and Yoichi Hori. (1998).
IEEJ Transactions on
Industry Applications, 118-D(1), pp. 45-50. (in Japanese)
- Traction Control of Electric Vehicle based on the Estimation of Road Surface Condition-Basic Experimental Results using the Test EV "UOT Electric March".
Yoichi Hori, Yasushi Toyoda, and Yoshimasa Tsuruoka. (1997).
Proceedings of Power Conversion Conference - Nagaoka 1997, pp. 1-8.
(link)
Book Chapters and Articles
- A Haughty Challenge by Computer Shogi: Winning the Championship --Recent Improvements of Gekisashi--.
Yoshimasa Tsuruoka. (2010).
IPSJ Magazine, Vol. 51, No 8, pp. 1001-1007. (in Japanese)
(link)
- HPSG Parsing with a Supertagger.
Takashi Ninomiya, Takuya Matsuzaki, Yusuke Miyao, Yoshimasa Tsuruoka and Jun'ichi Tsujii. (2010).
Harry Bunt, Paola Merlo, and Joakim Nivre (Eds.), Trends in Parsing Technology, pp. 237-252. Springer, Berlin.
- Recent Advances in Computer Shogi and Gekisashi.
Yoshimasa Tsuruoka. (2008).
IPSJ Magazine, Vol. 49, No 8, pp. 104-108. (in Japanese)
(link)
- 4-22 Ontology Learning.
Yoshimasa Tsuruoka. (2005).
Encyclopedia of Artificial Intelligence, Kyoritsu Shuppan, pp.
262-263. (in Japanese)
- The State-of-the-Art and Future of Shogi Programs.
Yoshimasa Tsuruoka. (2005).
IPSJ Magazine, Vol. 46, No 7, pp. 817-822. (in Japanese)
(link)
- Gekisashi - a Shogi Program.
Yoshimasa Tsuruoka. (2003).
Hitoshi Matsubara (ed.), Advances in Computer Shogi 4, Kyoritsu
Shuppan, pp. 1-16. (in Japanese)
- 2.1 Shogi.
Yoshimasa Tsuruoka. (2003).
IPSJ Magazine, Vol.
44, No 9, pp. 900-904. (in Japanese)
(link)