Rchr
J-GLOBAL ID:200901009869267045   Update date: May. 25, 2020

Seki Kazuhiro

Seki Kazuhiro
Affiliation and department:
Homepage URL  (1): https://www.konan-u.ac.jp/hp/seki/index.html
Research field  (3): Intelligent informatics ,  Human interfaces and interactions ,  Database science
Research keywords  (1): Information Retrieval Natural Language Processing Text Mining Machine Learning
Papers (56):
  • Michael Ortiz, Heejun Kim, Mika Wang, Kazuhiro Seki, Javed Mostafa. Dynamic Cluster-based Retrieval and Discovery for Biomedical Literature. Proceedings of the 10th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB). 2019
  • Kazuhiro Seki, Yusuke Ikuta. Estimating Business Sentiment from News Texts. Proceedings of the 2nd IEEE Artificial Intelligence and Knowledge Engineering. 2019
  • Kazuhiro Seki. On Cross-Lingual Text Similarity Using Neural Translation Models. Journal of Information Processing. 2019. 27. 315-321
  • Kazuhiro Seki. Exploring Neural Translation Models for Cross-Lingual Text Similarity. Proceedings of the 27th ACM International Conference on Information and Knowledge Management (CIKM). 2018. 1591-1594
  • Kazuhiro Seki. Exploring Neural Translation Models for Cross-Lingual Text Similarity. Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018. 2018. 1591-1594
more...
MISC (23):
  • Michael Segundo Ortiz, Sam Bubnovich, Mengqian Wang, Kazuhiro Seki, Javed Mostafa. Measures of Cluster Informativeness for Medical Evidence Aggregation and Dissemination. CoRR. 2018. abs/1809.01678
  • Michael Segundo Ortiz, Kazuhiro Seki, Javed Mostafa. Toward Exploratory Search in Biomedicine: Evaluating Document Clusters by MeSH as a Semantic Anchor. CoRR. 2018. abs/1812.02129
  • Rivindu Perera, Parma Nand, Boris Bacic, Wen-Hsin Yang, Kazuhiro Seki, Radek Burget. Semantic Web Today: From Oil Rigs to Panama Papers. CoRR. 2017. abs/1711.01518
  • Shun Kawahara, Kuniaki Uehara, Kazuhiro Seki. K2U at TREC 2014 KBA Track. Proceedings of The Twenty-Third Text REtrieval Conference, TREC 2014, Gaithersburg, Maryland, USA, November 19-21, 2014. 2014
  • 藤川 和樹, 関 和広, 上原 邦昭. Financial Trend Prediction and Analysis through Textual Data. 人工知能学会全国大会論文集. 2014. 28. 1-4
more...
Books (4):
  • Measuring Social Change Using Text Data: A Simple Distributional Approach
    Springer 2017
  • Readings in Japanese Natural Language Processing
    CSLI Publications 2014
  • Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technology
    IGI Global 2010
  • Biological Data Mining
    Chapman & Hall/CRC Press 2009
Professional career (1):
  • Ph.D. in Information Science
Awards (1):
  • 2019/03 - Specially Selected Paper
Association Membership(s) (1):
ACM SIGIR
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