Yoshimasa Tsuruoka
47 papers · 2003–2026 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 34% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Yoshimasa Tsuruoka?
5 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Jun’ichi Tsujii, Yusuke Miyao, Jun’ichi Kazama
16 papers
· 2003–2011
· EMNLP, ACL, IJCNLP
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Improving Chinese Word Segmentation and POS Tagging with Semi-supervised Methods Using Large Auto-Analyzed Data
IJCNLP 2011
Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?
CoNLL 2011
SMT Helps Bitext Dependency Parsing
EMNLP 2011
Improving Graph-based Dependency Parsing with Decision History
COLING 2010
A Discriminative Latent Variable Chinese Segmenter with Hybrid Word/Character Information
NAACL 2009
Fast Full Parsing by Linear-Chain Conditional Random Fields
EACL 2009
Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty
ACL 2009
A Discriminative Candidate Generator for String Transformations
EMNLP 2008
Modeling Latent-Dynamic in Shallow Parsing: A Latent Conditional Model with Improved Inference
COLING 2008
Towards Data and Goal Oriented Analysis: Tool Inter-operability and Combinatorial Comparison
IJCNLP 2008
An Intelligent Search Engine and GUI-based Efficient MEDLINE Search Tool Based on Deep Syntactic Parsing
ACL 2006
Extremely Lexicalized Models for Accurate and Fast HPSG Parsing
EMNLP 2006
Improving the Scalability of Semi-Markov Conditional Random Fields for Named Entity Recognition
ACL 2006
Semantic Retrieval for the Accurate Identification of Relational Concepts in Massive Textbases
ACL 2006
Bidirectional Inference with the Easiest-First Strategy for Tagging Sequence Data
EMNLP 2005
Training a Naive Bayes Classifier via the EM Algorithm with a Class Distribution Constraint
CoNLL 2003