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» Jointly Modeling WSD and SRL with Markov Logic
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COLING
2010
12 years 11 months ago
Jointly Modeling WSD and SRL with Markov Logic
Semantic role labeling (SRL) and word sense disambiguation (WSD) are two fundamental tasks in natural language processing to find a sentence-level semantic representation. To date...
Wanxiang Che, Ting Liu
JMLR
2012
11 years 7 months ago
Markov Logic Mixtures of Gaussian Processes: Towards Machines Reading Regression Data
We propose a novel mixtures of Gaussian processes model in which the gating function is interconnected with a probabilistic logical model, in our case Markov logic networks. In th...
Martin Schiegg, Marion Neumann, Kristian Kersting
EMNLP
2008
13 years 6 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
ACL
2009
13 years 2 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...
PKDD
2010
Springer
148views Data Mining» more  PKDD 2010»
13 years 3 months ago
Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models
Abstract. A new method is proposed for compiling causal independencies into Markov logic networks (MLNs). An MLN can be viewed as compactly representing a factorization of a joint ...
Sriraam Natarajan, Tushar Khot, Daniel Lowd, Prasa...