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Fingerprint Dive into the research topics where Tetsuya Sakai is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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Information retrieval Engineering & Materials Science
Experiments Engineering & Materials Science
Search engines Engineering & Materials Science
Websites Engineering & Materials Science
Feedback Engineering & Materials Science
Statistical tests Engineering & Materials Science
Metric Mathematics
Information retrieval systems Engineering & Materials Science

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Research Output 1998 2019

A Comparative Study of Deep Learning Approaches for Query-Focused Extractive Multi-Document Summarization

Yuliska & Sakai, T., 2019 May 9, 2019 IEEE 2nd International Conference on Information and Computer Technologies, ICICT 2019. Institute of Electrical and Electronics Engineers Inc., p. 153-157 5 p. 8710851. (2019 IEEE 2nd International Conference on Information and Computer Technologies, ICICT 2019).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

learning
neural network
Experiments
performance
Summarization

Attitude detection for one-round conversation: Jointly extracting target-polarity pairs

Zeng, Z., Lin, P., Song, R. & Sakai, T., 2019 Jan 30, WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining. Association for Computing Machinery, Inc, p. 285-293 9 p. (WSDM 2019 - Proceedings of the 12th ACM International Conference on Web Search and Data Mining).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

BM25 Pseudo Relevance Feedback using Anserini at Waseda university

Zeng, Z. & Sakai, T., 2019 Jan 1, In : CEUR Workshop Proceedings. 2409, p. 62-63 2 p.

Research output: Contribution to journalConference article

Tuning
Feedback

Centre@clef2019: Overview of the replicability and reproducibility tasks

Ferro, N., Fuhr, N., Maistro, M., Sakai, T. & Soboroff, I., 2019 Jan 1, In : CEUR Workshop Proceedings. 2380

Research output: Contribution to journalConference article

3 Citations (Scopus)

Centre@clef 2019

Ferro, N., Fuhr, N., Maistro, M., Sakai, T. & Soboroff, I., 2019 Jan 1, Advances in Information Retrieval - 41st European Conference on IR Research, ECIR 2019, Proceedings. Stein, B., Mayr, P., Azzopardi, L., Fuhr, N., Hauff, C. & Hiemstra, D. (eds.). Springer-Verlag, p. 283-290 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11438 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reproducibility
Information retrieval
Additivity
Incentives
Information Retrieval