Yoshimasa Tsuruoka

According to our database1, Yoshimasa Tsuruoka authored at least 116 papers between 2001 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2022
EASE: Entity-Aware Contrastive Learning of Sentence Embedding.
CoRR, 2022

Railway Operation Rescheduling System via Dynamic Simulation and Reinforcement Learning.
CoRR, 2022

Off-Policy Meta-Reinforcement Learning With Belief-Based Task Inference.
IEEE Access, 2022

mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Pretraining with Artificial Language: Studying Transferable Knowledge in Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
A Multilingual Bag-of-Entities Model for Zero-Shot Cross-Lingual Text Classification.
CoRR, 2021

Dropout Q-Functions for Doubly Efficient Reinforcement Learning.
CoRR, 2021

Utilizing Skipped Frames in Action Repeats via Pseudo-Actions.
CoRR, 2021

Off-Policy Meta-Reinforcement Learning Based on Feature Embedding Spaces.
CoRR, 2021

Non-steady-state Control under Disturbances: Navigating Plant Operation via Simulation-Based Reinforcement Learning.
Proceedings of the 60th Annual Conference of the Society of Instrument and Control Engineers of Japan, 2021

Modeling Target-side Inflection in Placeholder Translation.
Proceedings of the 18th Biennial Machine Translation Summit - Volume 1: Research Track, 2021

Meta-Model-Based Meta-Policy Optimization.
Proceedings of the Asian Conference on Machine Learning, 2021

Zero-pronoun Data Augmentation for Japanese-to-English Translation.
Proceedings of the 8th Workshop on Asian Translation, 2021

Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings.
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020
Parallelizing and optimizing neural Encoder-Decoder models without padding on multi-core architecture.
Future Gener. Comput. Syst., 2020

Data Augmentation for Learning Bilingual Word Embeddings with Unsupervised Machine Translation.
CoRR, 2020

Revisiting the Context Window for Cross-lingual Word Embeddings.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Optimistic Proximal Policy Optimization.
CoRR, 2019

Building a Computer Mahjong Player via Deep Convolutional Neural Networks.
CoRR, 2019

Synthesizing Chemical Plant Operation Procedures using Knowledge, Dynamic Simulation and Deep Reinforcement Learning.
CoRR, 2019

Neural Fictitious Self-Play on ELF Mini-RTS.
CoRR, 2019

Incorporating Source-Side Phrase Structures into Neural Machine Translation.
Comput. Linguistics, 2019

Learning Robust Options by Conditional Value at Risk Optimization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Accelerated Reinforcement Learning for Sentence Generation by Vocabulary Prediction.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Monte Carlo Tree Search with Variable Simulation Periods for Continuously Running Tasks.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Using Semantic Similarity as Reward for Reinforcement Learning in Sentence Generation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Partially Non-Recurrent Controllers for Memory-Augmented Neural Networks.
CoRR, 2018

Refining Manually-Designed Symbol Grounding and High-Level Planning by Policy Gradients.
CoRR, 2018

Multilingual Extractive Reading Comprehension by Runtime Machine Translation.
CoRR, 2018

Monte Carlo Tree Search with Scalable Simulation Periods for Continuously Running Tasks.
CoRR, 2018

Hierarchical Reinforcement Learning with Abductive Planning.
CoRR, 2018

2017
Game State Retrieval with Keyword Queries.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

A Hierarchical Neural Extractive Summarizer for Academic Papers.
Proceedings of the New Frontiers in Artificial Intelligence, 2017

Cache Friendly Parallelization of Neural Encoder-Decoder Models Without Padding on Multi-core Architecture.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017

Neural Fictitious Self-Play in Imperfect Information Games with Many Players.
Proceedings of the Computer Games - 6th Workshop, 2017

Deep Reinforcement Learning with Hidden Layers on Future States.
Proceedings of the Computer Games - 6th Workshop, 2017

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Neural Machine Translation with Source-Side Latent Graph Parsing.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Learning to Parse and Translate Improves Neural Machine Translation.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Exploration Bonuses Based on Upper Confidence Bounds for Sparse Reward Games.
Proceedings of the Advances in Computer Games - 15th International Conferences, 2017

2016
Modification of improved upper confidence bounds for regulating exploration in Monte-Carlo tree search.
Theor. Comput. Sci., 2016

Asymmetric Move Selection Strategies in Monte-Carlo Tree Search: Minimizing the Simple Regret at Max Nodes.
CoRR, 2016

Domain Adaptation for Neural Networks by Parameter Augmentation.
Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

A Japanese Chess Commentary Corpus.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

Domain Adaptation and Attention-Based Unknown Word Replacement in Chinese-to-Japanese Neural Machine Translation.
Proceedings of the 3rd Workshop on Asian Translation, 2016

Character-based Decoding in Tree-to-Sequence Attention-based Neural Machine Translation.
Proceedings of the 3rd Workshop on Asian Translation, 2016

Adaptive Joint Learning of Compositional and Non-Compositional Phrase Embeddings.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

Tree-to-Sequence Attentional Neural Machine Translation.
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015
Dynamic Prediction of Minimal Trees in Large-Scale Parallel Game Tree Search.
J. Inf. Process., 2015

Identifying synonymy between relational phrases using word embeddings.
J. Biomed. Informatics, 2015

Wide-coverage relation extraction from MEDLINE using deep syntax.
BMC Bioinform., 2015

Where Was Alexander the Great in 325 BC? Toward Understanding History Text with a World Model.
Proceedings of the First Workshop on Linking Computational Models of Lexical, 2015

Can Symbol Grounding Improve Low-Level NLP? Word Segmentation as a Case Study.
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Task-Oriented Learning of Word Embeddings for Semantic Relation Classification.
Proceedings of the 19th Conference on Computational Natural Language Learning, 2015

Building a computer Mahjong player based on Monte Carlo simulation and opponent models.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Regulation of exploration for simple regret minimization in Monte-Carlo tree search.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Learning a game commentary generator with grounded move expressions.
Proceedings of the 2015 IEEE Conference on Computational Intelligence and Games, 2015

Adapting Improved Upper Confidence Bounds for Monte-Carlo Tree Search.
Proceedings of the Advances in Computer Games - 14th International Conference, 2015

2014
Exploiting Timegraphs in Temporal Relation Classification.
Proceedings of TextGraphs@EMNLP 2014: the 9th Workshop on Graph-based Methods for Natural Language Processing, 2014

Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Probabilistic Chinese word segmentation with non-local information and stochastic training.
Inf. Process. Manag., 2013

A System-Design Outline of the Distributed-Shogi-System Akara 2010.
Proceedings of the 14th ACIS International Conference on Software Engineering, 2013

UTTime: Temporal Relation Classification using Deep Syntactic Features.
Proceedings of the 7th International Workshop on Semantic Evaluation, 2013

Simple Customization of Recursive Neural Networks for Semantic Relation Classification.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Comparison Training of Shogi Evaluation Functions with Self-Generated Training Positions and Moves.
Proceedings of the Computers and Games - 8th International Conference, 2013

2012
Bitext Dependency Parsing With Auto-Generated Bilingual Treebank.
IEEE Trans. Speech Audio Process., 2012

2011
Discovering and visualizing indirect associations between biomedical concepts.
Bioinform., 2011

AGRA: analysis of gene ranking algorithms.
Bioinform., 2011

Improving Chinese Word Segmentation and POS Tagging with Semi-supervised Methods Using Large Auto-Analyzed Data.
Proceedings of the Fifth International Joint Conference on Natural Language Processing, 2011

Poster: Analysis of gene ranking algorithms with extraction of relevant biomedical concepts from PubMed publications.
Proceedings of the IEEE 1st International Conference on Computational Advances in Bio and Medical Sciences, 2011

SMT Helps Bitext Dependency Parsing.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?
Proceedings of the Fifteenth Conference on Computational Natural Language Learning, 2011

Extracting Bacteria Biotopes with Semi-supervised Named Entity Recognition and Coreference Resolution.
Proceedings of BioNLP Shared Task 2011 Workshop, Portland, Oregon, USA, June 24, 2011, 2011

2010
Integration of metabolic databases for the reconstruction of genome-scale metabolic networks.
BMC Syst. Biol., 2010

PathText: a text mining integrator for biological pathway visualizations.
Bioinform., 2010

Improving Graph-based Dependency Parsing with Decision History.
Proceedings of the COLING 2010, 2010

HPSG Parsing with a Supertagger.
Proceedings of the Trends in Parsing Technology, 2010

2009
A Discriminative Latent Variable Chinese Segmenter with Hybrid Word/Character Information.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Fast Full Parsing by Linear-Chain Conditional Random Fields.
Proceedings of the EACL 2009, 12th Conference of the European Chapter of the Association for Computational Linguistics, Proceedings of the Conference, Athens, Greece, March 30, 2009

Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty.
Proceedings of the ACL 2009, 2009

2008
Accelerating the annotation of sparse named entities by dynamic sentence selection.
BMC Bioinform., 2008

Normalizing biomedical terms by minimizing ambiguity and variability.
BMC Bioinform., 2008

How to make the most of NE dictionaries in statistical NER.
BMC Bioinform., 2008

FACTA: a text search engine for finding associated biomedical concepts.
Bioinform., 2008

Kleio: a knowledge-enriched information retrieval system for biology.
Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2008

Filling the Gaps Between Tools and Users: A Tool Comparator, Using Protein-Protein Interactions as an Example.
Proceedings of the Biocomputing 2008, 2008

Connecting Text Mining and Pathways using the PathText Resource.
Proceedings of the International Conference on Language Resources and Evaluation, 2008

Towards Data and Goal Oriented Analysis: Tool Inter-operability and Combinatorial Comparison.
Proceedings of the Third International Joint Conference on Natural Language Processing, 2008

A Discriminative Candidate Generator for String Transformations.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Modeling Latent-Dynamic in Shallow Parsing: A Latent Conditional Model with Imrpoved Inference.
Proceedings of the COLING 2008, 2008

2007
Learning string similarity measures for gene/protein name dictionary look-up using logistic regression.
Bioinform., 2007

Ambiguous Part-of-Speech Tagging for Improving Accuracy and Domain Portability of Syntactic Parsers.
Proceedings of the IJCAI 2007, 2007

Move Prediction in Go with the Maximum Entropy Method.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007

An Annotation Type System for a Data-Driven NLP Pipeline.
Proceedings of the Linguistic Annotation Workshop, 2007

2006
GeneTUC, GENIA and Google: Natural Language Understanding in Molecular Biology Literature.
Trans. Comp. Sys. Biology, 2006

Automatic recognition of topic-classified relations between prostate cancer and genes using MEDLINE abstracts.
BMC Bioinform., 2006

Automatic Recognition of Topic-Classified Relations between Prostate Cancer and Genes from Medline Abstracts.
Proceedings of the Second International Symposium on Semantic Mining in Biomedicine, 2006

Extraction of Gene-Disease Relations from Medline Using Domain Dictionaries and Machine Learning.
Proceedings of the Biocomputing 2006, 2006

Extremely Lexicalized Models for Accurate and Fast HPSG Parsing.
Proceedings of the EMNLP 2006, 2006

Subdomain adaptation of a POS tagger with a small corpus.
Proceedings of the Workshop on Linking Natural Language and Biology, 2006

Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition.
Proceedings of the ACL 2006, 2006

An Intelligent Search Engine and GUI-based Efficient MEDLINE Search Tool Based on Deep Syntactic Parsing.
Proceedings of the ACL 2006, 2006

Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases.
Proceedings of the ACL 2006, 2006

2005
Developing a Robust Part-of-Speech Tagger for Biomedical Text.
Proceedings of the Advances in Informatics, 2005

Bidirectional Inference with the Easiest-First Strategy for Tagging Sequence Data.
Proceedings of the HLT/EMNLP 2005, 2005

Chunk Parsing Revisited.
Proceedings of the Ninth International Workshop on Parsing Technology, 2005

Efficacy of Beam Thresholding, Unification Filtering and Hybrid Parsing in Probabilistic HPSG Parsing.
Proceedings of the Ninth International Workshop on Parsing Technology, 2005

A Machine Learning Approach to Acronym Generation.
Proceedings of the ACL-ISMB Workshop on Linking Biological Literature, 2005

2004
Improving the performance of dictionary-based approaches in protein name recognition.
J. Biomed. Informatics, 2004

Iterative CKY Parsing for Probabilistic Context-Free Grammars.
Proceedings of the Natural Language Processing, 2004

2003
Indexing anatomical concepts to OMIM Clinical Synopsis using UMLS Metathesaurus.
Silico Biol., 2003

Probabilistic term variant generator for biomedical terms.
Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

Training a Naive Bayes Classifier via the EM Algorithm with a Class Distribution Constraint.
Proceedings of the Seventh Conference on Natural Language Learning, 2003

Boosting Precision and Recall of Dictionary-Based Protein Name Recognition.
Proceedings of the Workshop on Natural Language Processing in Biomedicine, 2003

2002
Game-tree Search Algorithm based on Realization Probability.
J. Int. Comput. Games Assoc., 2002

2001
Estimating Reliability of Contextual Evidences in Decision-List Classifiers under Bayesian Learning.
Proceedings of the Sixth Natural Language Processing Pacific Rim Symposium, 2001


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