People, clouds, and interaction for information access

Tetsuya Sakai

doi:10.1145/1667780.1667817

People, clouds, and interaction for information access

Tetsuya Sakai

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Microsoft Research Asia (MSRA) currently has nineteen research groups that cover various areas in computer science. The Web InTelligence (WIT) Group, led by Chin-Yew Lin, is a recent spin-off from the Natural Language Computing Group, and tackles problems in sentiment analysis, expert and social search, social question answering and summarisation, user intent/activity recognition and prediction, assisting inarticulate users, and information access evaluation. In this talk, I will try to illustrate current strategies and future visions of the WIT group by discussing human-human interaction, computer-computer interaction, human-computer interaction and "evaluation evolution," each in turn.

Original language	English
Title of host publication	Proceedings of the 3rd International Universal Communication Symposium, IUCS 2009
Pages	179-180
Number of pages	2
DOIs	https://doi.org/10.1145/1667780.1667817
Publication status	Published - 2009 Dec 1
Event	3rd International Universal Communication Symposium, IUCS 2009 - Tokyo, Japan Duration: 2009 Dec 3 → 2009 Dec 4

Publication series

Name	ACM International Conference Proceeding Series

Conference

Conference	3rd International Universal Communication Symposium, IUCS 2009
Country	Japan
City	Tokyo
Period	09/12/3 → 09/12/4

Fingerprint

Keywords

Evaluation
Information access
Natural language processing
Question answering
Search
Web intelligence

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Cite this

Sakai, T. (2009). People, clouds, and interaction for information access. In Proceedings of the 3rd International Universal Communication Symposium, IUCS 2009 (pp. 179-180). (ACM International Conference Proceeding Series). https://doi.org/10.1145/1667780.1667817

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KW - Search

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Access to Document

10.1145/1667780.1667817