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What and Who

Identifying Time Intervals of Interest for Queries

Dhruv Gupta
Indian Institute of Technology Patna
PhD Application Talk
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, MMCI  
Public Audience
English

Date, Time and Location

Monday, 19 May 2014
09:00
75 Minutes
E1 4
024
Saarbrücken

Abstract

In this talk, I will outline various methods of  'mining' the latent temporal information associated with temporally ambiguous or unambiguous queries. The novel contribution lies in detection of interesting periods  or points of time associated with queries. This is done by taking into account not only the document metadata but also the temporal information contained in the document body. The methods are formulated, while taking into account a time model that considers the natural uncertainty associated with time. I present a generative model to detect time intervals at different granularity (e.g., day, month, or year) of relevance to the query.

Contact

Jennifer Gerling
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Jennifer Gerling, 05/15/2014 11:28 -- Created document.