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» Learning consumer preferences using semantic similarity
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EMNLP
2009
13 years 7 months ago
Supervised Learning of a Probabilistic Lexicon of Verb Semantic Classes
The work presented in this paper explores a supervised method for learning a probabilistic model of a lexicon of VerbNet classes. We intend for the probabilistic model to provide ...
Yusuke Miyao, Jun-ichi Tsujii
JELIA
2010
Springer
13 years 8 months ago
Similarity-Based Inconsistency-Tolerant Logics
Abstract. Many logics for AI applications that are defined by denotational semantics are trivialized in the presence of inconsistency. It is therefore often desirable, and practic...
Ofer Arieli, Anna Zamansky
AAAI
2006
13 years 11 months ago
Mixed Collaborative and Content-Based Filtering with User-Contributed Semantic Features
We describe a recommender system which uses a unique combination of content-based and collaborative methods to suggest items of interest to users, and also to learn and exploit it...
Matthew Garden, Gregory Dudek
JAIR
2007
121views more  JAIR 2007»
13 years 9 months ago
On the Semantics of Logic Programs with Preferences
This work is a contribution to prioritized reasoning in logic programming in the presence of preference relations involving atoms. The technique, providing a new interpretation fo...
Sergio Greco, Irina Trubitsyna, Ester Zumpano
COSIT
2007
Springer
126views GIS» more  COSIT 2007»
14 years 1 months ago
Evaluation of a Semantic Similarity Measure for Natural Language Spatial Relations
Consistent and flawless communication between humans and machines is the precondition for a computer to process instructions correctly. While machines use well-defined languages an...
Angela Schwering