( en | de | ru )

 

Disambiguation of "Torisawa, Kentaro"

Author of the publication

copydeleteadd this publication to your clipboard
Improving Chinese Word Segmentation and POS Tagging with Semi-supervised Methods Using Large Auto-Analyzed Data.

, , , , , and . IJCNLP, page 309-317. The Association for Computer Linguistics, (2011)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Kentaro Harada

Kentaro Kusumi

Kentaro Azuma

Kentaro Zens

Kentaro Suetsugu

 

Other publications of authors with the same name

Bitext Dependency Parsing With Auto-Generated Bilingual Treebank., , , , , , , and . IEEE Trans. Speech Audio Process., 20 (5): 1461-1472 (2012)Extraction and visualization of numerical and named entity information from a large number of documents., , , , , , and . NLPKE, page 1-8. IEEE, (2008)Extracting Symptom Names and Disease-Symptom Relationships from Web Texts Using a Multi-Column Convolutional Neural Network., , , , , and . MedInfo, volume 264 of Studies in Health Technology and Informatics, page 423-427. IOS Press, (2019)LiLFes - Towards a Practical HPSG Parser., , , and . COLING-ACL, page 807-811. Morgan Kaufmann Publishers / ACL, (1998)HPSG-Style Underspecified Japanese Grammar with Wide Coverage., , and . COLING-ACL, page 876-880. Morgan Kaufmann Publishers / ACL, (1998)Improving Dependency Parsing with Subtrees from Auto-Parsed Data., , , and . EMNLP, page 570-579. ACL, (2009)Translating the XTAG English grammar to HPSG., , , and . TAG+, page 172-175. Institute for Research in Cognitive Science, (1998)Packing of feature structures for optimizing the HPSG-style grammar translated from TAG., , , and . TAG+, page 104-107. Institute for Research in Cognitive Science, (1998)Improving Chinese Word Segmentation and POS Tagging with Semi-supervised Methods Using Large Auto-Analyzed Data., , , , , and . IJCNLP, page 309-317. The Association for Computer Linguistics, (2011)Exploiting Background Knowledge in Compact Answer Generation for Why-Questions., , , , , and . AAAI, page 142-151. AAAI Press, (2019)