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ORCIDYoshimasa Tsuruoka
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2020 – today
- 2023
[c82]Qiyu Wu, Masaaki Nagata, Yoshimasa Tsuruoka:
WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction. ACL (1) 2023: 11084-11099- [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
- [j23]Takahisa Imagawa
, Takuya Hiraoka, Yoshimasa Tsuruoka:
Off-Policy Meta-Reinforcement Learning With Belief-Based Task Inference. IEEE Access 10: 49494-49507 (2022) - [c81]Ryokan Ri, Yoshimasa Tsuruoka:
Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models. ACL (1) 2022: 7302-7315 - [c80]Ryokan Ri, Ikuya Yamada, Yoshimasa Tsuruoka:
mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models. ACL (1) 2022: 7316-7330 - [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 - [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
- [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 - [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
- [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) - [c71]Ryokan Ri, Yoshimasa Tsuruoka:
Revisiting the Context Window for Cross-lingual Word Embeddings. ACL 2020: 995-1005 - [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)
2010 – 2019
- 2019
- [j21]Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka:
Incorporating Source-Side Phrase Structures into Neural Machine Translation. Comput. Linguistics 45(2): 267-292 (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 - [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
- [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 - [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
- [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) - [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 - [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
- [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) - [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 - [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) - 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
- [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) - [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 - 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) - [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
- [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) - [c32]Wenliang Chen, Jun'ichi Kazama, Yoshimasa Tsuruoka, Kentaro Torisawa:
Improving Graph-based Dependency Parsing with Decision History. COLING (Posters) 2010: 126-134 - [p1]Takashi Ninomiya, Takuya Matsuzaki, Yusuke Miyao, Yoshimasa Tsuruoka, Jun'ichi Tsujii:
HPSG Parsing with a Supertagger. Trends in Parsing Technology 2010: 243-256
2000 – 2009
- 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
- [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) - [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
- [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) - [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]