Clustering and Exploring Search Results using Timeline Constructions. Presenter: Tsai Tzung Ruei Authors: Omar Alonso, Michael Gertz , Ricardo Baeza -Yates. 國立雲林科技大學 National Yunlin University of Science and Technology. CIKM 2009. Outline. Motivation Objective
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Clustering and Exploring Search Results usingTimeline Constructions
Presenter: Tsai TzungRuei
Authors: Omar Alonso, Michael Gertz, Ricardo Baeza-Yates
National Yunlin University of Science and Technology
the temporal information embedded in the documents.
Our base timeline, denoted Td, is an interval of consecutive
day chronons.EX: “March 12, 2002; March 13, 2002;March 14, 2002”
implicit temporal expression
EX:“Valentine's Day 2006”
Explicit temporal expressions
Relative temporal expressions
Alembic (POS tagger)
GUTime temporal tagger
a hit list Lq =[d1, d2, . . . , dk] of k documents
2010, 2006, 2002,
1998 and 1994
documents are well classified by users in terms of the actual event.
pre-defined categories(5)< TCluster (21)
Each World Cup document has a single event
as the main theme.
A 50% increase in the number of clusters discovered by TCluster
The average response was 4.04
(with an 80% agreement level)