Yoshimasa Tsuruoka

发表

Tree-to-Sequence Attentional Neural Machine Translation pdf

Yoshimasa Tsuruoka, Akiko Eriguchi, Kazuma Hashimoto, 2016, ACL.

Learning Embeddings for Transitive Verb Disambiguation by Implicit Tensor Factorization

Kazuma Hashimoto, Yoshimasa Tsuruoka, 2015 .

Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?

Yusuke Miyao, Yoshimasa Tsuruoka, Jun'ichi Kazama, 2011, CoNLL.

Modeling Latent-Dynamic in Shallow Parsing: A Latent Conditional Model with Improved Inference

Xu Sun, Jun'ichi Tsujii, Louis-Philippe Morency, 2008, COLING.

Normalizing biomedical terms by minimizing ambiguity and variability

Sophia Ananiadou, Yoshimasa Tsuruoka, John McNaught, 2008, BMC Bioinformatics.

Game-tree Search Algorithm based on Realization Probability

Takashi Chikayama, Yoshimasa Tsuruoka, Daisaku Yokoyama, 2002, J. Int. Comput. Games Assoc..

Tutorial Abstracts of ACL 2012

Karin M. Verspoor, Christopher D. Manning, Matthew S. Simpson, 2012 .

Learning Task-Specific Representations of Environment Models in Deep Reinforcement Learning

Yoshimasa Tsuruoka, Yota Mizutani, 2019 .

Extraction of Gene-Disease Relations from Medline Using Domain Dictionaries and Machine Learning

Teruyoshi Hishiki, Jun'ichi Tsujii, Yoshimasa Tsuruoka, 2005, Pacific Symposium on Biocomputing.

Prior Estimation in UCT based on the Sequential Halving Algorithm

Yoshimasa Tsuruoka, Yun-Ching Liu, 2014 .

Incorporating Source-Side Phrase Structures into Neural Machine Translation

Akiko Eriguchi, Kazuma Hashimoto, Yoshimasa Tsuruoka, 2019, Computational Linguistics.

Extraction from Biomedical Literature Using Predicate-Argument Structure Patterns

Yoshimasa Tsuruoka, Satoshi Tojo, Makoto Miwa, 2013 .

Improving the Performance of ProbCut by Using Positional Features in Shogi

T. Chikayama, Yoshimasa Tsuruoka, Makoto Miwa, 2012 .

Polarity Relations of Citations

S. Ananiadou, Yoshimasa Tsuruoka, J. McNaught, 2006 .

EASE: Entity-Aware Contrastive Learning of Sentence Embedding

I. Echizen, Yoshimasa Tsuruoka, Ikuya Yamada, 2022, NAACL.

2015 IEEE Conference on Computational Intelligence and Games, CIG 2015, Tainan, Taiwan, August 31 - September 2, 2015

Yoshimasa Tsuruoka, I-Chen Wu, Xin Yao Chair, 2015, CIG.

Data and text mining Learning string similarity measures for gene / protein name dictionary look-up using logistic regression

Junichi Tsujii, S. Ananiadou, Yoshimasa Tsuruoka, 2007 .

Generating Characteristic Words from Positions for Shogi Commentary

Shinsuke Mori, T. Chikayama, Yoshimasa Tsuruoka, 2013 .

Japanese Chess Commentary Corpus with Named Entity and Modality Annotation

Shinsuke Mori, Yoshimasa Tsuruoka, John Richardson, 2021, Journal of Natural Language Processing.

Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings

Yoshimasa Tsuruoka, Sosuke Nishikawa, Ryokan Ri, 2020, ACL.

A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification

I. Echizen, Yoshimasa Tsuruoka, Ikuya Yamada, 2021, ArXiv.

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks pdf

Yoshimasa Tsuruoka, Richard Socher, Caiming Xiong, 2016, EMNLP.

Incorporating Source-Side Phrase Structures into Neural Machine Translation

Yoshimasa Tsuruoka, Akiko Eriguchi, Kazuma Hashimoto, 2019, Computational Linguistics.

LEXAS: a web application for life science experiment search and suggestion

Yoshimasa Tsuruoka, Kei Ito, Daiju Kitagawa, 2021, bioRxiv.

SMT Helps Bitext Dependency Parsing

Haizhou Li, Yoshimasa Tsuruoka, Kentaro Torisawa, 2011, EMNLP.

Discovering and visualizing indirect associations between biomedical concepts

Sophia Ananiadou, Jun'ichi Tsujii, Yoshimasa Tsuruoka, 2011, Bioinform..

PathText: a text mining integrator for biological pathway visualizations

Yukiko Matsuoka, Hiroaki Kitano, Sophia Ananiadou, 2010, Bioinform..

Learning string similarity measures for gene/protein name dictionary look-up using logistic regression

Sophia Ananiadou, Jun'ichi Tsujii, Yoshimasa Tsuruoka, 2007, Bioinform..

Improving the performance of dictionary-based approaches in protein name recognition

Jun'ichi Tsujii, Yoshimasa Tsuruoka, Junichi Tsujii, 2004, J. Biomed. Informatics.

Probabilistic term variant generator for biomedical terms

Jun'ichi Tsujii, Yoshimasa Tsuruoka, Junichi Tsujii, 2003, SIGIR.

Boosting Precision and Recall of Dictionary-Based Protein Name Recognition

Jun'ichi Tsujii, Yoshimasa Tsuruoka, Junichi Tsujii, 2003, BioNLP@ACL.

Integration of metabolic databases for the reconstruction of genome-scale metabolic networks

Neil Swainston, Yoshimasa Tsuruoka, Jean-Marc Schwartz, 2010, BMC Systems Biology.

Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation

Masaaki Nagata, Yoshimasa Tsuruoka, Go Yasui, 2019, ACL.

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction

Yoshimasa Tsuruoka, Kazuma Hashimoto, Kazuma Hashimoto, 2018, NAACL.

A Hierarchical Neural Extractive Summarizer for Academic Papers

Yoshimasa Tsuruoka, Kazutaka Kinugawa, Yoshimasa Tsuruoka, 2017, JSAI-isAI Workshops.

Indexing anatomical concepts to OMIM Clinical Synopsis using UMLS Metathesaurus

Teruyoshi Hishiki, Yoshimasa Tsuruoka, Osamu Ogasawara, 2003, Silico Biol..

Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients pdf

Takuya Hiraoka, Takashi Onishi, Yoshimasa Tsuruoka, 2018, ArXiv.

Computing operation procedures for chemical plants using whole-plant simulation models

Yoshimasa Tsuruoka, Kubosawa Shumpei, Takashi Onishi, 2021 .

Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces pdf

Takuya Hiraoka, Takahisa Imagawa, Yoshimasa Tsuruoka, 2021, ArXiv.

Developing a Robust Part-of-Speech Tagger for Biomedical Text

Sophia Ananiadou, Yoshimasa Tsuruoka, Jin-Dong Kim, 2005, Panhellenic Conference on Informatics.

Modeling Target-side Inflection in Placeholder Translation

Yoshimasa Tsuruoka, Toshiaki Nakazawa, Ryokan Ri, 2021, MTSUMMIT.

Data Augmentation for Learning Bilingual Word Embeddings with Unsupervised Machine Translation pdf

Yoshimasa Tsuruoka, Ryokan Ri, Sosuke Nishikawa, 2020, ArXiv.

Bidirectional Inference with the Easiest-First Strategy for Tagging Sequence Data

Jun'ichi Tsujii, Yoshimasa Tsuruoka, Junichi Tsujii, 2005, HLT.

Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures

Yoshimasa Tsuruoka, Makoto Miwa, Pontus Stenetorp, 2014, EMNLP.

How to make the most of NE dictionaries in statistical NER

Sophia Ananiadou, Yoshimasa Tsuruoka, John McNaught, 2008, BMC Bioinformatics.

Dropout Q-Functions for Doubly Efficient Reinforcement Learning

Yoshimasa Tsuruoka, Takuya Hiraoka, Takahisa Imagawa, 2021, ICLR.

Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models

Yoshimasa Tsuruoka, Ryokan Ri, 2022, ACL.

FACTA: a text search engine for finding associated biomedical concepts

Sophia Ananiadou, Jun'ichi Tsujii, Yoshimasa Tsuruoka, 2008, Bioinform..

Zero-pronoun Data Augmentation for Japanese-to-English Translation

Yoshimasa Tsuruoka, Toshiaki Nakazawa, Ryokan Ri, 2021, WAT.

Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases

Jun'ichi Tsujii, Yusuke Miyao, Yoshimasa Tsuruoka, 2006, ACL.

Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks

Toru Nakata, Seydou Ba, Takuya Hiraoka, 2018, ArXiv.

Regulation of exploration for simple regret minimization in Monte-Carlo tree search

Yoshimasa Tsuruoka, Yun-Ching Liu, Yoshimasa Tsuruoka, 2015, 2015 IEEE Conference on Computational Intelligence and Games (CIG).

Wide-coverage relation extraction from MEDLINE using deep syntax

Takashi Chikayama, Yoshimasa Tsuruoka, Nhung T. H. Nguyen, 2015, BMC Bioinformatics.

mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models

Yoshimasa Tsuruoka, Ikuya Yamada, Ryokan Ri, 2021, ACL.

Improvement in Domain Specific Word Segmentation by Symbol Grounding

Yoshimasa Tsuruoka, Shinsuke Mori, Suzushi Tomori, 2017 .

Stacking Approach to Temporal Relation Classification with Temporal Inference

Yoshimasa Tsuruoka, Makoto Miwa, Natsuda Laokulrat, 2015 .

Exploiting Timegraphs in Temporal Relation Classification

Yoshimasa Tsuruoka, Makoto Miwa, Natsuda Laokulrat, 2014, TextGraphs@EMNLP.

UTTime: Temporal Relation Classification using Deep Syntactic Features

Takashi Chikayama, Yoshimasa Tsuruoka, Makoto Miwa, 2013, *SEMEVAL.

Connecting Text Mining and Pathways using the PathText Resource

Yukiko Matsuoka, Hiroaki Kitano, Naoaki Okazaki, 2008, LREC.

Learning to Parse and Translate Improves Neural Machine Translation pdf

Yoshimasa Tsuruoka, Kyunghyun Cho, Akiko Eriguchi, 2017, ACL.

Filling the Gaps Between Tools and Users: A Tool Comparator, Using Protein-Protein Interactions as an Example

Sophia Ananiadou, Jun'ichi Tsujii, Yusuke Miyao, 2007, Pacific Symposium on Biocomputing.

A Machine Learning Approach to Acronym Generation

Sophia Ananiadou, Jun'ichi Tsujii, Yoshimasa Tsuruoka, 2005, LBLODMBS@IDMB.

Partially Non-Recurrent Controllers for Memory-Augmented Neural Networks pdf

Yoshimasa Tsuruoka, Naoya Taguchi, Yoshimasa Tsuruoka, 2018, ArXiv.

Move Prediction in Go with the Maximum Entropy Method

Jun'ichi Tsujii, Yoshimasa Tsuruoka, Kazuhiro Yoshida, 2007, 2007 IEEE Symposium on Computational Intelligence and Games.

Bitext Dependency Parsing With Auto-Generated Bilingual Treebank

Haizhou Li, Yoshimasa Tsuruoka, Kentaro Torisawa, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Probabilistic Chinese word segmentation with non-local information and stochastic training

Xu Sun, Jun'ichi Tsujii, Yoshimasa Tsuruoka, 2013, Inf. Process. Manag..

Extremely Lexicalized Models for Accurate and Fast HPSG Parsing

Jun'ichi Tsujii, Yusuke Miyao, Yoshimasa Tsuruoka, 2006, EMNLP.

Kleio: a knowledge-enriched information retrieval system for biology

Naoaki Okazaki, Sophia Ananiadou, Jun'ichi Tsujii, 2008, SIGIR '08.

[Deep Learning and Natural Language Processing].

Yoshimasa Tsuruoka, Yoshimasa Tsuruoka, 2019, Brain and nerve = Shinkei kenkyu no shinpo.

Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings pdf

Yoshimasa Tsuruoka, Kazuma Hashimoto, Kazuma Hashimoto, 2016, ACL.

Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty

Sophia Ananiadou, Jun'ichi Tsujii, Yoshimasa Tsuruoka, 2009, ACL.

Reconstruction of an in silico metabolic model of Arabidopsis thaliana through database integration

Neil Swainston, Yoshimasa Tsuruoka, Jean-Marc Schwartz, 2009 .

Learning Robust Options by Conditional Value at Risk Optimization

Tatsuya Mori, Takuya Hiraoka, Takashi Onishi, 2019, NeurIPS.

Hierarchical Reinforcement Learning with Abductive Planning pdf

Takashi Onishi, Yoshimasa Tsuruoka, Kazeto Yamamoto, 2018, ArXiv.

Multilingual Extractive Reading Comprehension by Runtime Machine Translation pdf

Yoshimasa Tsuruoka, Akiko Eriguchi, Kazuma Hashimoto, 2018, ArXiv.

Simple Customization of Recursive Neural Networks for Semantic Relation Classification

Takashi Chikayama, Yoshimasa Tsuruoka, Makoto Miwa, 2013, EMNLP.

An Intelligent Search Engine and GUI-based Efficient MEDLINE Search Tool Based on Deep Syntactic Parsing

Jun'ichi Tsujii, Yusuke Miyao, Yoshimasa Tsuruoka, 2006, ACL.

Task-Oriented Learning of Word Embeddings for Semantic Relation Classification

Yoshimasa Tsuruoka, Makoto Miwa, Pontus Stenetorp, 2015, CoNLL.

Mining opinion polarity relations of citations

Sophia Ananiadou, Yoshimasa Tsuruoka, John McNaught, 2007 .

Leveraging Multi-lingual Positive Instances in Contrastive Learning to Improve Sentence Embedding

Yoshimasa Tsuruoka, Qiyu Wu, Kaiyan Zhao, 2023, arXiv.org.

WSPAlign: Word Alignment Pre-training via Large-Scale Weakly Supervised Span Prediction

Yoshimasa Tsuruoka, M. Nagata, Qiyu Wu, 2023, ACL.

Analyzing Transferable Knowledge by Pretraining with Artificial Language

Yoshimasa Tsuruoka, Ryokan Ri, 2023, Journal of Natural Language Processing.

Discovering and visualizing indirect associations between biomedical concepts

Junichi Tsujii, S. Ananiadou, Yoshimasa Tsuruoka, 2011, Bioinform..

Building a computer Mahjong player based on Monte Carlo simulation and opponent models

Yoshimasa Tsuruoka, Naoki Mizukami, Yoshimasa Tsuruoka, 2015, 2015 IEEE Conference on Computational Intelligence and Games (CIG).

Accelerating the annotation of sparse named entities by dynamic sentence selection

Sophia Ananiadou, Jun'ichi Tsujii, Yoshimasa Tsuruoka, 2008, BMC Bioinformatics.

Revisiting the Context Window for Cross-lingual Word Embeddings

Yoshimasa Tsuruoka, Ryokan Ri, Yoshimasa Tsuruoka, 2020, ACL.

A Discriminative Candidate Generator for String Transformations

Naoaki Okazaki, Sophia Ananiadou, Jun'ichi Tsujii, 2008, EMNLP.

Iterative CKY Parsing for Probabilistic Context-Free Grammars

Jun'ichi Tsujii, Yoshimasa Tsuruoka, Junichi Tsujii, 2004, IJCNLP.

Integration of Diverse Knowledge and Data into Biomedical Knowledge Matrices

Yoshimasa Tsuruoka, O. Ogasawara, K. Okubo, 2003 .

Improving Chinese Word Segmentation and POS Tagging with Semi-supervised Methods Using Large Auto-Analyzed Data

Yoshimasa Tsuruoka, Kentaro Torisawa, Wenliang Chen, 2011, IJCNLP.

Utilizing Skipped Frames in Action Repeats via Pseudo-Actions pdf

Yoshimasa Tsuruoka, Taisei Hashimoto, Yoshimasa Tsuruoka, 2021, ArXiv.

Efficacy of Beam Thresholding, Unification Filtering and Hybrid Parsing in Probabilistic HPSG Parsing

Jun'ichi Tsujii, Yusuke Miyao, Yoshimasa Tsuruoka, 2005, IWPT.

Fast and scalable HPSG parsing

Yusuke Miyao, Yoshimasa Tsuruoka, Kenjiro Taura, 2006 .

Wide-coverage relation extraction from MEDLINE using deep syntax

Nhung T. H. Nguyen, T. Chikayama, Yoshimasa Tsuruoka, 2015, BMC Bioinformatics.

Towards Data and Goal Oriented Analysis: Tool Inter-operability and Combinatorial Comparison

Sophia Ananiadou, Jun'ichi Tsujii, Yusuke Miyao, 2008, IJCNLP.

GeneTUC, GENIA and Google: Natural Language Understanding in Molecular Biology Literature

Yoshimasa Tsuruoka, Rune Sætre, Tore Amble, 2006, Trans. Comp. Sys. Biology.

Meta-Model-Based Meta-Policy Optimization pdf

Voot Tangkaratt, Takuya Hiraoka, Takashi Onishi, 2020, ACML.

Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts

Yoshimasa Tsuruoka, Naoki Nagata, Rie Shiba, 2006, BMC Bioinformatics.