( en | de | ru )

 

Disambiguation of "Kanamaru, Toshiyuki"

Author of the publication

copydeleteadd this publication to your clipboard
Extraction and visualization of numerical and named entity information from a large number of documents.

, , , , , , and . NLPKE, page 1-8. IEEE, (2008)

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.

Moriyoshi Kanamaru

Toshiyuki Ichiba

Toshiyuki Ishikawa

 

Other publications of authors with the same name

Extraction and visualization of numerical and named entity information from a large number of documents., , , , , , and . NLPKE, page 1-8. IEEE, (2008)Construction of Adverb Dictionary that Relates to Speaker Attitudes and Evaluation of Its Effectiveness., , and . PACLIC, ACL, (2006)Obtaining Japanese Lexical Units for Semantic Frames from Berkeley FrameNet Using a Bilingual Corpus., , , and . LINC@IJCNLP, Asian Federation of Natural Language Processing, (2005)Japanese-to-English translations of tense, aspect, and modality using machine-learning methods and comparison with machine-translation systems on market., , , , and . Lang. Resour. Evaluation, 40 (3-4): 233-242 (2006)A System for Answering Non-Factoid Japanese Questions by Using Passage Retrieval Weighted Based on Type of Answer., , , , and . NTCIR, National Institute of Informatics (NII), (2007)Using the K Nearest Neighbor Method and BM25 in the Patent Document Categorization Subtask at NTCIR-5., , , and . NTCIR, National Institute of Informatics (NII), (2005)English-to-Japanese Cross-Language Question-Answering System using Weighted Adding with Multiple Answers (pp. 17-22)., , , and . Polibits, (2009)Extraction of important numerical pairs from text documents and visualization of them., , , , , , and . NTCIR, National Institute of Informatics (NII), (2007)Machine-Learning-Based Transformation of Passive Japanese Sentences into Active by Separating Training Data into Each Input Particle., , , and . ACL, The Association for Computer Linguistics, (2006)Analysis of Machine Translation Systems' Errors in Tense, Aspect, and Modality., , , , and . PACLIC, ACL, (2005)