![](https://dblp.uni-trier.de/img/logo.ua.320x120.png)
![](https://dblp.uni-trier.de/img/dropdown.dark.16x16.png)
![](https://dblp.uni-trier.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
![search dblp](https://dblp.uni-trier.de/img/search.dark.16x16.png)
default search action
Yoshimasa Tsuruoka
Person information
Refine list
![note](https://dblp.uni-trier.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2024
- [j24]Nicolas Bougie
, Takashi Onishi
, Yoshimasa Tsuruoka
:
Interpretable Imitation Learning with Symbolic Rewards. ACM Trans. Intell. Syst. Technol. 15(1): 4:1-4:34 (2024) - 2022
- [j23]Takahisa Imagawa
, Takuya Hiraoka
, Yoshimasa Tsuruoka
:
Off-Policy Meta-Reinforcement Learning With Belief-Based Task Inference. IEEE Access 10: 49494-49507 (2022) - 2020
- [j22]Yuchen Qiao, Kazuma Hashimoto, Akiko Eriguchi, Haixia Wang, Dongsheng Wang, Yoshimasa Tsuruoka, Kenjiro Taura
:
Parallelizing and optimizing neural Encoder-Decoder models without padding on multi-core architecture. Future Gener. Comput. Syst. 108: 1206-1213 (2020) - 2019
- [j21]Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka:
Incorporating Source-Side Phrase Structures into Neural Machine Translation. Comput. Linguistics 45(2): 267-292 (2019) - 2016
- [j20]Yun-Ching Liu, Yoshimasa Tsuruoka
:
Modification of improved upper confidence bounds for regulating exploration in Monte-Carlo tree search. Theor. Comput. Sci. 644: 92-105 (2016) - 2015
- [j19]Nhung T. H. Nguyen
, Makoto Miwa, Yoshimasa Tsuruoka
, Takashi Chikayama, Satoshi Tojo:
Wide-coverage relation extraction from MEDLINE using deep syntax. BMC Bioinform. 16: 107:1-107:11 (2015) - [j18]Nhung T. H. Nguyen, Makoto Miwa, Yoshimasa Tsuruoka
, Satoshi Tojo:
Identifying synonymy between relational phrases using word embeddings. J. Biomed. Informatics 56: 94-102 (2015) - [j17]Akira Ura, Yoshimasa Tsuruoka
, Takashi Chikayama:
Dynamic Prediction of Minimal Trees in Large-Scale Parallel Game Tree Search. J. Inf. Process. 23(1): 9-19 (2015) - 2013
- [j16]Xu Sun, Yao-zhong Zhang, Takuya Matsuzaki, Yoshimasa Tsuruoka
, Jun'ichi Tsujii:
Probabilistic Chinese word segmentation with non-local information and stochastic training. Inf. Process. Manag. 49(3): 626-636 (2013) - 2012
- [j15]Wenliang Chen, Jun'ichi Kazama, Min Zhang, Yoshimasa Tsuruoka
, Yujie Zhang, Yiou Wang, Kentaro Torisawa, Haizhou Li
:
Bitext Dependency Parsing With Auto-Generated Bilingual Treebank. IEEE Trans. Speech Audio Process. 20(5): 1461-1472 (2012) - 2011
- [j14]Simon Kocbek, Rune Sætre, Gregor Stiglic
, Jin-Dong Kim, Igor Pernek, Yoshimasa Tsuruoka
, Peter Kokol
, Sophia Ananiadou, Jun'ichi Tsujii:
AGRA: analysis of gene ranking algorithms. Bioinform. 27(8): 1185-1186 (2011) - [j13]Yoshimasa Tsuruoka
, Makoto Miwa, Kaisei Hamamoto, Jun'ichi Tsujii, Sophia Ananiadou:
Discovering and visualizing indirect associations between biomedical concepts. Bioinform. 27(13): 111-119 (2011) - 2010
- [j12]Brian Kemper, Takuya Matsuzaki, Yukiko Matsuoka, Yoshimasa Tsuruoka
, Hiroaki Kitano, Sophia Ananiadou, Jun'ichi Tsujii:
PathText: a text mining integrator for biological pathway visualizations. Bioinform. 26(12): 374-381 (2010) - [j11]Karin Radrich, Yoshimasa Tsuruoka
, Paul D. Dobson, Albert Gevorgyan, Neil Swainston, Gino Baart, Jean-Marc Schwartz
:
Integration of metabolic databases for the reconstruction of genome-scale metabolic networks. BMC Syst. Biol. 4: 114 (2010) - 2008
- [j10]Yoshimasa Tsuruoka
, Jun'ichi Tsujii, Sophia Ananiadou:
FACTA: a text search engine for finding associated biomedical concepts. Bioinform. 24(21): 2559-2560 (2008) - [j9]Yutaka Sasaki, Yoshimasa Tsuruoka
, John McNaught, Sophia Ananiadou:
How to make the most of NE dictionaries in statistical NER. BMC Bioinform. 9(S-11) (2008) - [j8]Yoshimasa Tsuruoka
, Jun'ichi Tsujii, Sophia Ananiadou:
Accelerating the annotation of sparse named entities by dynamic sentence selection. BMC Bioinform. 9(S-11) (2008) - [j7]Yoshimasa Tsuruoka
, John McNaught, Sophia Ananiadou:
Normalizing biomedical terms by minimizing ambiguity and variability. BMC Bioinform. 9(S-3) (2008) - 2007
- [j6]Yoshimasa Tsuruoka
, John McNaught, Jun'ichi Tsujii, Sophia Ananiadou:
Learning string similarity measures for gene/protein name dictionary look-up using logistic regression. Bioinform. 23(20): 2768-2774 (2007) - 2006
- [j5]Hong-Woo Chun, Yoshimasa Tsuruoka
, Jin-Dong Kim, Rie Shiba, Naoki Nagata, Teruyoshi Hishiki, Jun'ichi Tsujii:
Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts. BMC Bioinform. 7(S-3) (2006) - [j4]Rune Sætre, Harald Søvik, Tore Amble, Yoshimasa Tsuruoka
:
GeneTUC, GENIA and Google: Natural Language Understanding in Molecular Biology Literature. Trans. Comp. Sys. Biology 5: 68-82 (2006) - 2004
- [j3]Yoshimasa Tsuruoka
, Jun'ichi Tsujii:
Improving the performance of dictionary-based approaches in protein name recognition. J. Biomed. Informatics 37(6): 461-470 (2004) - 2003
- [j2]Teruyoshi Hishiki, Osamu Ogasawara, Yoshimasa Tsuruoka, Kousaku Okubo:
Indexing anatomical concepts to OMIM Clinical Synopsis using UMLS Metathesaurus. Silico Biol. 4(1): 31-54 (2003) - 2002
- [j1]Yoshimasa Tsuruoka, Daisaku Yokoyama, Takashi Chikayama:
Game-tree Search Algorithm based on Realization Probability. J. Int. Comput. Games Assoc. 25(3): 145-152 (2002)
Conference and Workshop Papers
- 2024
- [c84]Kaiyan Zhao, Qiyu Wu, Xin-Qiang Cai, Yoshimasa Tsuruoka:
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding. EACL (1) 2024: 976-991 - 2023
- [c83]Qiyu Wu, Masaaki Nagata, Yoshimasa Tsuruoka:
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction. ACL (1) 2023: 11084-11099 - 2022
- [c82]Ryokan Ri, Yoshimasa Tsuruoka:
Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models. ACL (1) 2022: 7302-7315 - [c81]Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka:
mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models. ACL (1) 2022: 7316-7330 - [c80]Sosuke Nishikawa, Ikuya Yamada, Yoshimasa Tsuruoka, Isao Echizen:
A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification. CoNLL 2022: 1-12 - [c79]Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto, Takashi Onishi, Yoshimasa Tsuruoka:
Dropout Q-Functions for Doubly Efficient Reinforcement Learning. ICLR 2022 - [c78]Sosuke Nishikawa, Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka, Isao Echizen:
EASE: Entity-Aware Contrastive Learning of Sentence Embedding. NAACL-HLT 2022: 3870-3885 - [c77]Nicolas Bougie, Takashi Onishi, Yoshimasa Tsuruoka:
Local Control is All You Need: Decentralizing and Coordinating Reinforcement Learning for Large-Scale Process Control. SICE 2022: 468-474 - 2021
- [c76]Sosuke Nishikawa, Ryokan Ri, Yoshimasa Tsuruoka:
Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings. ACL (student) 2021: 163-173 - [c75]Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka:
Zero-pronoun Data Augmentation for Japanese-to-English Translation. WAT@ACL/IJCNLP 2021: 117-123 - [c74]Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka:
Meta-Model-Based Meta-Policy Optimization. ACML 2021: 129-144 - [c73]Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka:
Modeling Target-side Inflection in Placeholder Translation. MTSummit (1) 2021: 231-242 - [c72]Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka:
Non-steady-state Control under Disturbances: Navigating Plant Operation via Simulation-Based Reinforcement Learning. SICE 2021: 799-806 - 2020
- [c71]Ryokan Ri, Yoshimasa Tsuruoka:
Revisiting the Context Window for Cross-lingual Word Embeddings. ACL 2020: 995-1005 - 2019
- [c70]Go Yasui, Yoshimasa Tsuruoka, Masaaki Nagata:
Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation. ACL (2) 2019: 400-406 - [c69]Seydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata, Yoshimasa Tsuruoka:
Monte Carlo Tree Search with Variable Simulation Periods for Continuously Running Tasks. ICTAI 2019: 416-423 - [c68]Kazuma Hashimoto, Yoshimasa Tsuruoka:
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction. NAACL-HLT (1) 2019: 3115-3125 - [c67]Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori, Takashi Onishi, Yoshimasa Tsuruoka:
Learning Robust Options by Conditional Value at Risk Optimization. NeurIPS 2019: 2615-2625 - 2017
- [c66]Naoki Mizukami, Jun Suzuki
, Hirotaka Kameko
, Yoshimasa Tsuruoka
:
Exploration Bonuses Based on Upper Confidence Bounds for Sparse Reward Games. ACG 2017: 165-175 - [c65]Akiko Eriguchi, Yoshimasa Tsuruoka
, Kyunghyun Cho:
Learning to Parse and Translate Improves Neural Machine Translation. ACL (2) 2017: 72-78 - [c64]Kazuma Hashimoto, Yoshimasa Tsuruoka:
Neural Machine Translation with Source-Side Latent Graph Parsing. EMNLP 2017: 125-135 - [c63]Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher:
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. EMNLP 2017: 1923-1933 - [c62]Hirotaka Kameko
, Jun Suzuki
, Naoki Mizukami, Yoshimasa Tsuruoka
:
Deep Reinforcement Learning with Hidden Layers on Future States. CGW@IJCAI 2017: 46-60 - [c61]Keigo Kawamura, Naoki Mizukami, Yoshimasa Tsuruoka
:
Neural Fictitious Self-Play in Imperfect Information Games with Many Players. CGW@IJCAI 2017: 61-74 - [c60]Yuchen Qiao, Kazuma Hashimoto, Akiko Eriguchi, Haixia Wang, Dongsheng Wang, Yoshimasa Tsuruoka
, Kenjiro Taura
:
Cache Friendly Parallelization of Neural Encoder-Decoder Models Without Padding on Multi-core Architecture. IPDPS Workshops 2017: 437-440 - [c59]Kazutaka Kinugawa, Yoshimasa Tsuruoka
:
A Hierarchical Neural Extractive Summarizer for Academic Papers. JSAI-isAI Workshops 2017: 339-354 - [c58]Atsushi Ushiku, Shinsuke Mori, Hirotaka Kameko
, Yoshimasa Tsuruoka
:
Game State Retrieval with Keyword Queries. SIGIR 2017: 877-880 - 2016
- [c57]Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka:
Tree-to-Sequence Attentional Neural Machine Translation. ACL (1) 2016 - [c56]Kazuma Hashimoto, Yoshimasa Tsuruoka:
Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings. ACL (1) 2016 - [c55]Kazuma Hashimoto, Akiko Eriguchi, Yoshimasa Tsuruoka:
Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation. WAT@COLING 2016: 75-83 - [c54]Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka:
Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation. WAT@COLING 2016: 175-183 - [c53]Shinsuke Mori, John Richardson, Atsushi Ushiku, Tetsuro Sasada, Hirotaka Kameko, Yoshimasa Tsuruoka:
A Japanese Chess Commentary Corpus. LREC 2016 - [c52]Yusuke Watanabe, Kazuma Hashimoto, Yoshimasa Tsuruoka
:
Domain Adaptation for Neural Networks by Parameter Augmentation. Rep4NLP@ACL 2016: 249-257 - 2015
- [c51]Yun-Ching Liu, Yoshimasa Tsuruoka
:
Adapting Improved Upper Confidence Bounds for Monte-Carlo Tree Search. ACG 2015: 53-64 - [c50]Kazuma Hashimoto, Yoshimasa Tsuruoka:
Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization. CVSC 2015: 1-11 - [c49]Yun-Ching Liu, Yoshimasa Tsuruoka
:
Regulation of exploration for simple regret minimization in Monte-Carlo tree search. CIG 2015: 35-42 - [c48]Hirotaka Kameko
, Shinsuke Mori, Yoshimasa Tsuruoka
:
Learning a game commentary generator with grounded move expressions. CIG 2015: 177-184 - [c47]Naoki Mizukami, Yoshimasa Tsuruoka
:
Building a computer Mahjong player based on Monte Carlo simulation and opponent models. CIG 2015: 275-283 - [c46]Kazuma Hashimoto, Pontus Stenetorp, Makoto Miwa, Yoshimasa Tsuruoka:
Task-Oriented Learning of Word Embeddings for Semantic Relation Classification. CoNLL 2015: 268-278 - [c45]Yuki Murakami, Yoshimasa Tsuruoka
:
Where Was Alexander the Great in 325 BC? Toward Understanding History Text with a World Model. LSDSem@EMNLP 2015: 83-88 - [c44]Hirotaka Kameko, Shinsuke Mori, Yoshimasa Tsuruoka:
Can Symbol Grounding Improve Low-Level NLP? Word Segmentation as a Case Study. EMNLP 2015: 2298-2303 - 2014
- [c43]Kazuma Hashimoto, Pontus Stenetorp, Makoto Miwa, Yoshimasa Tsuruoka:
Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures. EMNLP 2014: 1544-1555 - [c42]Natsuda Laokulrat, Makoto Miwa, Yoshimasa Tsuruoka:
Exploiting Timegraphs in Temporal Relation Classification. TextGraphs@EMNLP 2014: 6-14 - 2013
- [c41]Akira Ura, Makoto Miwa, Yoshimasa Tsuruoka
, Takashi Chikayama:
Comparison Training of Shogi Evaluation Functions with Self-Generated Training Positions and Moves. Computers and Games 2013: 208-220 - [c40]Kazuma Hashimoto, Makoto Miwa, Yoshimasa Tsuruoka, Takashi Chikayama:
Simple Customization of Recursive Neural Networks for Semantic Relation Classification. EMNLP 2013: 1372-1376 - [c39]Natsuda Laokulrat, Makoto Miwa, Yoshimasa Tsuruoka, Takashi Chikayama:
UTTime: Temporal Relation Classification using Deep Syntactic Features. SemEval@NAACL-HLT 2013: 88-92 - [c38]Kunihito Hoki, Tomoyuki Kaneko, Daisaku Yokoyama, Takuya Obata, Hiroshi Yamashita, Yoshimasa Tsuruoka
, Takeshi Ito:
A System-Design Outline of the Distributed-Shogi-System Akara 2010. SNPD 2013: 466-471 - 2011
- [c37]Nhung T. H. Nguyen, Yoshimasa Tsuruoka:
Extracting Bacteria Biotopes with Semi-supervised Named Entity Recognition and Coreference Resolution. BioNLP@ACL (Shared Task) 2011: 94-101 - [c36]Yoshimasa Tsuruoka, Yusuke Miyao, Jun'ichi Kazama:
Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models? CoNLL 2011: 238-246 - [c35]Wenliang Chen, Jun'ichi Kazama, Min Zhang, Yoshimasa Tsuruoka, Yujie Zhang, Yiou Wang, Kentaro Torisawa, Haizhou Li:
SMT Helps Bitext Dependency Parsing. EMNLP 2011: 73-83 - [c34]Simon Kocbek, Rune Sætre, Gregor Stiglic, Jin-Dong Kim, Igor Pernek, Yoshimasa Tsuruoka
, Peter Kokol, Sophia Ananiadou, Jun'ichi Tsujii:
Poster: Analysis of gene ranking algorithms with extraction of relevant biomedical concepts from PubMed publications. ICCABS 2011: 249 - [c33]Yiou Wang, Jun'ichi Kazama, Yoshimasa Tsuruoka, Wenliang Chen, Yujie Zhang, Kentaro Torisawa:
Improving Chinese Word Segmentation and POS Tagging with Semi-supervised Methods Using Large Auto-Analyzed Data. IJCNLP 2011: 309-317 - 2010
- [c32]Wenliang Chen, Jun'ichi Kazama, Yoshimasa Tsuruoka, Kentaro Torisawa:
Improving Graph-based Dependency Parsing with Decision History. COLING (Posters) 2010: 126-134 - 2009
- [c31]Yoshimasa Tsuruoka, Jun'ichi Tsujii, Sophia Ananiadou:
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty. ACL/IJCNLP 2009: 477-485 - [c30]Yoshimasa Tsuruoka, Jun'ichi Tsujii, Sophia Ananiadou:
Fast Full Parsing by Linear-Chain Conditional Random Fields. EACL 2009: 790-798 - [c29]Xu Sun, Yao-zhong Zhang, Takuya Matsuzaki, Yoshimasa Tsuruoka, Jun'ichi Tsujii:
A Discriminative Latent Variable Chinese Segmenter with Hybrid Word/Character Information. HLT-NAACL 2009: 56-64 - 2008
- [c28]Yoshimasa Tsuruoka, Jun'ichi Tsujii, Sophia Ananiadou:
Accelerating the Annotation of Sparse Named Entities by Dynamic Sentence Selection. BioNLP 2008: 30-37 - [c27]Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, Sophia Ananiadou:
How to Make the Most of NE Dictionaries in Statistical NER. BioNLP 2008: 63-70 - [c26]Xu Sun, Louis-Philippe Morency, Daisuke Okanohara, Yoshimasa Tsuruoka, Jun'ichi Tsujii:
Modeling Latent-Dynamic in Shallow Parsing: A Latent Conditional Model with Imrpoved Inference. COLING 2008: 841-848 - [c25]Naoaki Okazaki, Yoshimasa Tsuruoka, Sophia Ananiadou, Jun'ichi Tsujii:
A Discriminative Candidate Generator for String Transformations. EMNLP 2008: 447-456 - [c24]Yoshinobu Kano, Ngan L. T. Nguyen, Rune Sætre, Kazuhiro Yoshida, Keiichiro Fukamachi, Yusuke Miyao, Yoshimasa Tsuruoka, Sophia Ananiadou, Jun'ichi Tsujii:
Towards Data and Goal Oriented Analysis: Tool Inter-operability and Combinatorial Comparison. IJCNLP 2008: 859-864 - [c23]Rune Sætre, Brian Kemper, Kanae Oda, Naoaki Okazaki, Yukiko Matsuoka, Norihiro Kikuchi, Hiroaki Kitano, Yoshimasa Tsuruoka, Sophia Ananiadou, Jun'ichi Tsujii:
Connecting Text Mining and Pathways using the PathText Resource. LREC 2008 - [c22]Yoshinobu Kano, Ngan L. T. Nguyen, Rune Sætre, Kazuhiro Yoshida, Yusuke Miyao, Yoshimasa Tsuruoka, Yuichiroh Matsubayashi, Sophia Ananiadou, Jun'ichi Tsujii:
Filling the Gaps Between Tools and Users: A Tool Comparator, Using Protein-Protein Interactions as an Example. Pacific Symposium on Biocomputing 2008: 616-627 - [c21]Chikashi Nobata, Philip Cotter, Naoaki Okazaki, Brian Rea, Yutaka Sasaki, Yoshimasa Tsuruoka
, Jun'ichi Tsujii, Sophia Ananiadou:
Kleio: a knowledge-enriched information retrieval system for biology. SIGIR 2008: 787-788 - 2007
- [c20]Udo Hahn, Ekaterina Buyko, Katrin Tomanek, Scott Piao, John McNaught, Yoshimasa Tsuruoka, Sophia Ananiadou:
An Annotation Type System for a Data-Driven NLP Pipeline. LAW@ACL 2007: 33-40 - [c19]Nobuo Araki, Kazuhiro Yoshida, Yoshimasa Tsuruoka
, Jun'ichi Tsujii:
Move Prediction in Go with the Maximum Entropy Method. CIG 2007: 189-195 - [c18]Kazuhiro Yoshida, Yoshimasa Tsuruoka, Yusuke Miyao, Jun'ichi Tsujii:
Ambiguous Part-of-Speech Tagging for Improving Accuracy and Domain Portability of Syntactic Parsers. IJCAI 2007: 1783-1788 - 2006
- [c17]Yusuke Miyao, Tomoko Ohta, Katsuya Masuda, Yoshimasa Tsuruoka, Kazuhiro Yoshida, Takashi Ninomiya, Jun'ichi Tsujii:
Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases. ACL 2006 - [c16]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:
An Intelligent Search Engine and GUI-based Efficient MEDLINE Search Tool Based on Deep Syntactic Parsing. ACL 2006 - [c15]Daisuke Okanohara, Yusuke Miyao, Yoshimasa Tsuruoka, Jun'ichi Tsujii:
Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition. ACL 2006 - [c14]Yuka Tateisi, Yoshimasa Tsuruoka, Jun'ichi Tsujii:
Subdomain adaptation of a POS tagger with a small corpus. BioNLP@NAACL-HLT 2006: 136-137 - [c13]Takashi Ninomiya, Takuya Matsuzaki, Yoshimasa Tsuruoka, Yusuke Miyao, Jun'ichi Tsujii:
Extremely Lexicalized Models for Accurate and Fast HPSG Parsing. EMNLP 2006: 155-163 - [c12]Hong-Woo Chun, Yoshimasa Tsuruoka, Jin-Dong Kim, Rie Shiba, Naoki Nagata, Teruyoshi Hishiki, Jun'ichi Tsujii:
Extraction of Gene-Disease Relations from Medline Using Domain Dictionaries and Machine Learning. Pacific Symposium on Biocomputing 2006: 4-15 - [c11]Hong-Woo Chun, Yoshimasa Tsuruoka, Jin-Dong Kim, Rie Shiba, Naoki Nagata, Teruyoshi Hishiki, Jun'ichi Tsujii:
Automatic Recognition of Topic-Classified Relations between Prostate Cancer and Genes from Medline Abstracts. SMBM 2006 - 2005
- [c10]Yoshimasa Tsuruoka, Sophia Ananiadou, Jun'ichi Tsujii:
A Machine Learning Approach to Acronym Generation. LBLODMBS@IDMB 2005: 25-31 - [c9]Takashi Ninomiya, Yoshimasa Tsuruoka, Yusuke Miyao, Jun'ichi Tsujii:
Efficacy of Beam Thresholding, Unification Filtering and Hybrid Parsing in Probabilistic HPSG Parsing. IWPT 2005: 103-114 - [c8]Yoshimasa Tsuruoka, Jun'ichi Tsujii:
Chunk Parsing Revisited. IWPT 2005: 133-140 - [c7]Yoshimasa Tsuruoka, Jun'ichi Tsujii:
Bidirectional Inference with the Easiest-First Strategy for Tagging Sequence Data. HLT/EMNLP 2005: 467-474 - [c6]Yoshimasa Tsuruoka
, Yuka Tateishi, Jin-Dong Kim, Tomoko Ohta, John McNaught, Sophia Ananiadou, Jun'ichi Tsujii:
Developing a Robust Part-of-Speech Tagger for Biomedical Text. Panhellenic Conference on Informatics 2005: 382-392 - 2004
- [c5]Yoshimasa Tsuruoka
, Jun'ichi Tsujii:
Iterative CKY Parsing for Probabilistic Context-Free Grammars. IJCNLP 2004: 52-60 - 2003
- [c4]Yoshimasa Tsuruoka, Jun'ichi Tsujii:
Boosting Precision and Recall of Dictionary-Based Protein Name Recognition. BioNLP@ACL 2003: 41-48 - [c3]Yoshimasa Tsuruoka, Jun'ichi Tsujii:
Training a Naive Bayes Classifier via the EM Algorithm with a Class Distribution Constraint. CoNLL 2003: 127-134 - [c2]Yoshimasa Tsuruoka
, Jun'ichi Tsujii:
Probabilistic term variant generator for biomedical terms. SIGIR 2003: 167-173 - 2001
- [c1]Yoshimasa Tsuruoka, Takashi Chikayama:
Estimating Reliability of Contextual Evidences in Decision-List Classifiers under Bayesian Learning. NLPRS 2001: 701-707
Parts in Books or Collections
- 2010
- [p1]Takashi Ninomiya, Takuya Matsuzaki, Yusuke Miyao, Yoshimasa Tsuruoka
, Jun'ichi Tsujii:
HPSG Parsing with a Supertagger. Trends in Parsing Technology 2010: 243-256
Informal and Other Publications
- 2024
- [i41]Zhongtao Miao, Qiyu Wu, Kaiyan Zhao, Zilong Wu, Yoshimasa Tsuruoka:
Enhancing Cross-lingual Sentence Embedding for Low-resource Languages with Word Alignment. CoRR abs/2404.02490 (2024) - [i40]Qiyu Wu, Masaaki Nagata, Zhongtao Miao, Yoshimasa Tsuruoka:
Word Alignment as Preference for Machine Translation. CoRR abs/2405.09223 (2024) - [i39]Takuya Hiraoka, Guanquan Wang, Takashi Onishi, Yoshimasa Tsuruoka:
Which Experiences Are Influential for RL Agents? Efficiently Estimating The Influence of Experiences. CoRR abs/2405.14629 (2024) - [i38]Zhongtao Miao, Kaiyan Zhao, Yoshimasa Tsuruoka:
Improving Arithmetic Reasoning Ability of Large Language Models through Relation Tuples, Verification and Dynamic Feedback. CoRR abs/2406.17873 (2024) - 2023
- [i37]Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka:
Unsupervised Discovery of Continuous Skills on a Sphere. CoRR abs/2305.14377 (2023) - [i36]Qiyu Wu, Masaaki Nagata, Yoshimasa Tsuruoka:
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction. CoRR abs/2306.05644 (2023) - [i35]Kaiyan Zhao, Qiyu Wu, Xin-Qiang Cai, Yoshimasa Tsuruoka:
Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding. CoRR abs/2309.08929 (2023) - 2022
- [i34]Shumpei Kubosawa, Takashi Onishi, Makoto Sakahara, Yoshimasa Tsuruoka:
Railway Operation Rescheduling System via Dynamic Simulation and Reinforcement Learning. CoRR abs/2201.06276 (2022) - [i33]Ryokan Ri, Yoshimasa Tsuruoka:
Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models. CoRR abs/2203.10326 (2022) - [i32]Sosuke Nishikawa, Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka, Isao Echizen:
EASE: Entity-Aware Contrastive Learning of Sentence Embedding. CoRR abs/2205.04260 (2022) - [i31]Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka:
Soft Sensors and Process Control using AI and Dynamic Simulation. CoRR abs/2208.04373 (2022) - 2021
- [i30]Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka:
Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces. CoRR abs/2101.01883 (2021) - [i29]Taisei Hashimoto, Yoshimasa Tsuruoka:
Utilizing Skipped Frames in Action Repeats via Pseudo-Actions. CoRR abs/2105.03041 (2021) - [i28]Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka:
Zero-pronoun Data Augmentation for Japanese-to-English Translation. CoRR abs/2107.00318 (2021) - [i27]Ryokan Ri, Toshiaki Nakazawa, Yoshimasa Tsuruoka:
Modeling Target-side Inflection in Placeholder Translation. CoRR abs/2107.00334 (2021) - [i26]Takuya Hiraoka, Takahisa Imagawa, Taisei Hashimoto, Takashi Onishi, Yoshimasa Tsuruoka:
Dropout Q-Functions for Doubly Efficient Reinforcement Learning. CoRR abs/2110.02034 (2021) - [i25]Sosuke Nishikawa, Ikuya Yamada, Yoshimasa Tsuruoka, Isao Echizen:
A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification. CoRR abs/2110.07792 (2021) - [i24]Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka:
mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models. CoRR abs/2110.08151 (2021) - 2020
- [i23]Ryokan Ri, Yoshimasa Tsuruoka:
Revisiting the Context Window for Cross-lingual Word Embeddings. CoRR abs/2004.10813 (2020) - [i22]Sosuke Nishikawa, Ryokan Ri, Yoshimasa Tsuruoka:
Data Augmentation for Learning Bilingual Word Embeddings with Unsupervised Machine Translation. CoRR abs/2006.00262 (2020) - [i21]Takuya Hiraoka, Takahisa Imagawa, Voot Tangkaratt, Takayuki Osa, Takashi Onishi, Yoshimasa Tsuruoka:
Meta-Model-Based Meta-Policy Optimization. CoRR abs/2006.02608 (2020) - 2019
- [i20]Keigo Kawamura, Yoshimasa Tsuruoka:
Neural Fictitious Self-Play on ELF Mini-RTS. CoRR abs/1902.02004 (2019) - [i19]Shumpei Kubosawa, Takashi Onishi, Yoshimasa Tsuruoka:
Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning. CoRR abs/1903.02183 (2019) - [i18]Takuya Hiraoka, Takahisa Imagawa, Tatsuya Mori, Takashi Onishi, Yoshimasa Tsuruoka:
Learning Robust Options by Conditional Value at Risk Optimization. CoRR abs/1905.09191 (2019) - [i17]Shiqi Gao, Fuminori Okuya, Yoshihiro Kawahara, Yoshimasa Tsuruoka:
Building a Computer Mahjong Player via Deep Convolutional Neural Networks. CoRR abs/1906.02146 (2019) - [i16]Takahisa Imagawa, Takuya Hiraoka, Yoshimasa Tsuruoka:
Optimistic Proximal Policy Optimization. CoRR abs/1906.11075 (2019) - 2018
- [i15]Kazeto Yamamoto, Takashi Onishi, Yoshimasa Tsuruoka:
Hierarchical Reinforcement Learning with Abductive Planning. CoRR abs/1806.10792 (2018) - [i14]Kazuma Hashimoto, Yoshimasa Tsuruoka:
Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction. CoRR abs/1809.01694 (2018) - [i13]Seydou Ba, Takuya Hiraoka, Takashi Onishi, Toru Nakata, Yoshimasa Tsuruoka:
Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks. CoRR abs/1809.02378 (2018) - [i12]Akari Asai, Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka:
Multilingual Extractive Reading Comprehension by Runtime Machine Translation. CoRR abs/1809.03275 (2018) - [i11]Takuya Hiraoka, Takashi Onishi, Takahisa Imagawa, Yoshimasa Tsuruoka:
Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients. CoRR abs/1810.00177 (2018) - [i10]Naoya Taguchi, Yoshimasa Tsuruoka:
Partially Non-Recurrent Controllers for Memory-Augmented Neural Networks. CoRR abs/1812.11485 (2018) - 2017
- [i9]Kazuma Hashimoto, Yoshimasa Tsuruoka:
Neural Machine Translation with Source-Side Latent Graph Parsing. CoRR abs/1702.02265 (2017) - [i8]Akiko Eriguchi, Yoshimasa Tsuruoka, Kyunghyun Cho:
Learning to Parse and Translate Improves Neural Machine Translation. CoRR abs/1702.03525 (2017) - 2016
- [i7]Kazuma Hashimoto, Yoshimasa Tsuruoka:
Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings. CoRR abs/1603.06067 (2016) - [i6]Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka:
Tree-to-Sequence Attentional Neural Machine Translation. CoRR abs/1603.06075 (2016) - [i5]Yun-Ching Liu, Yoshimasa Tsuruoka:
Asymmetric Move Selection Strategies in Monte-Carlo Tree Search: Minimizing the Simple Regret at Max Nodes. CoRR abs/1605.02321 (2016) - [i4]Yusuke Watanabe, Kazuma Hashimoto, Yoshimasa Tsuruoka:
Domain Adaptation for Neural Networks by Parameter Augmentation. CoRR abs/1607.00410 (2016) - [i3]Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher:
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. CoRR abs/1611.01587 (2016) - 2015
- [i2]Kazuma Hashimoto, Pontus Stenetorp, Makoto Miwa, Yoshimasa Tsuruoka:
Task-Oriented Learning of Word Embeddings for Semantic Relation Classification. CoRR abs/1503.00095 (2015) - [i1]Yun-Ching Liu, Yoshimasa Tsuruoka:
Adapting Improved Upper Confidence Bounds for Monte-Carlo Tree Search. CoRR abs/1505.02830 (2015)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-07-23 21:54 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint