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» Jointly Identifying Temporal Relations with Markov Logic
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ACL
2009
10 years 11 months ago
Jointly Identifying Temporal Relations with Markov Logic
Recent work on temporal relation identification has focused on three types of relations between events: temporal relations between an event and a time expression, between a pair o...
Katsumasa Yoshikawa, Sebastian Riedel, Masayuki As...
SIGDIAL
2010
10 years 11 months ago
Exploring the Effectiveness of Lexical Ontologies for Modeling Temporal Relations with Markov Logic
Temporal analysis of events is a central problem in computational models of discourse. However, correctly recognizing temporal aspects of events poses serious challenges. This pap...
Eun Y. Ha, Alok Baikadi, Carlyle Licata, Bradford ...
EMNLP
2008
11 years 2 months ago
Joint Unsupervised Coreference Resolution with Markov Logic
Machine learning approaches to coreference resolution are typically supervised, and require expensive labeled data. Some unsupervised approaches have been proposed (e.g., Haghighi...
Hoifung Poon, Pedro Domingos
JOLLI
2002
109views more  JOLLI 2002»
11 years 27 days ago
Linear, Branching Time and Joint Closure Semantics for Temporal Logic
Temporal logic can be used to describe processes: their behaviour is characterized by a set of temporal models axiomatized by a temporal theory. Two types of models are most often ...
Joeri Engelfriet, Jan Treur
ICML
2010
IEEE
11 years 2 months ago
Learning Temporal Causal Graphs for Relational Time-Series Analysis
Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
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