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» Inferring Temporal Ordering of Events in News
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ECAI
2004
Springer
13 years 10 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
JASIS
2010
262views more  JASIS 2010»
13 years 3 months ago
New event detection and topic tracking in Turkish
Topic detection and tracking (TDT) applications aim to organize the temporally ordered stories of a news stream according to the events. Two major problems in TDT are new event de...
Fazli Can, Seyit Kocberber, Ozgur Baglioglu, Suley...
LOGCOM
2002
142views more  LOGCOM 2002»
13 years 4 months ago
Two Logical Theories of Plan Recognition
We present a logical approach to plan recognition that builds on Kautz's theory of keyhole plan recognition, defined as the problem of inferring descriptions of high-level pl...
Wayne Wobcke
WSDM
2010
ACM
322views Data Mining» more  WSDM 2010»
14 years 2 months ago
Inferring Search Behaviors Using Partially Observable Markov (POM) Model
This article describes an application of the partially observable Markov (POM) model to the analysis of a large scale commercial web search log. Mathematically, POM is a variant o...
Kuansan Wang, Nikolas Gloy, Xiaolong Li
EACL
1993
ACL Anthology
13 years 6 months ago
A Computational Treatment of Sentence-Final 'then'
We describe a computational system which parses discourses consisting of sequences of simple sentences. These contain a range of temporal constructions, including time adverbials,...
Sheila Glasbey