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» Probabilistic-Logic Models: Reasoning and Learning with Rela...
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ACL
2009
14 years 7 months ago
Prediction of Thematic Rank for Structured Semantic Role Labeling
In Semantic Role Labeling (SRL), it is reasonable to globally assign semantic roles due to strong dependencies among arguments. Some relations between arguments significantly char...
Weiwei Sun, Zhifang Sui, Meng Wang
COLING
2010
14 years 4 months ago
A Structured Vector Space Model for Hidden Attribute Meaning in Adjective-Noun Phrases
We present an approach to model hidden attributes in the compositional semantics of adjective-noun phrases in a distributional model. For the representation of adjective meanings,...
Matthias Hartung, Anette Frank
ICML
2007
IEEE
15 years 10 months ago
Bottom-up learning of Markov logic network structure
Markov logic networks (MLNs) are a statistical relational model that consists of weighted firstorder clauses and generalizes first-order logic and Markov networks. The current sta...
Lilyana Mihalkova, Raymond J. Mooney
ACL
2012
13 years 7 days ago
Fine Granular Aspect Analysis using Latent Structural Models
In this paper, we present a structural learning model for joint sentiment classification and aspect analysis of text at various levels of granularity. Our model aims to identify ...
Lei Fang, Minlie Huang
AAAI
2008
15 years 4 days ago
The PELA Architecture: Integrating Planning and Learning to Improve Execution
Building architectures for autonomous rational behavior requires the integration of several AI components, such as planning, learning and execution monitoring. In most cases, the ...
Sergio Jiménez, Fernando Fernández, ...