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» Learning Classifiers from Semantically Heterogeneous Data
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FLAIRS
2008
14 years 12 days ago
Analyzing Dialog Coherence Using Transition Patterns in Lexical and Semantic Features
In this paper, we present methods to analyze dialog coherence that help us to automatically distinguish between coherent and incoherent conversations. We build a machine learning ...
Amruta Purandare, Diane J. Litman
ECIR
2009
Springer
13 years 7 months ago
Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis
Abstract. In the community of sentiment analysis, supervised learning techniques have been shown to perform very well. When transferred to another domain, however, a supervised sen...
Songbo Tan, Xueqi Cheng, Yuefen Wang, Hongbo Xu
ACMICEC
2005
ACM
151views ECommerce» more  ACMICEC 2005»
14 years 3 months ago
Product knowledge reasoning: a DL-based approach
In order to capture the full fledge semantic of complicated product data model, the expressive language ALCNHR+ K(D) is introduced. It cannot only be able to represent knowledge a...
Nizamuddin Channa, Shanping Li, Xiangjun Fu
SIGIR
2008
ACM
13 years 10 months ago
Learning to reduce the semantic gap in web image retrieval and annotation
We study in this paper the problem of bridging the semantic gap between low-level image features and high-level semantic concepts, which is the key hindrance in content-based imag...
Changhu Wang, Lei Zhang 0001, Hong-Jiang Zhang
CAISE
2006
Springer
14 years 1 months ago
Towards an Architecture of Ontological Components for the Semantic Web
This paper presents an architecture of ontological components for the Semantic Web. Many methods and methodologies can be found in the literature. Generally, they are dedicated to ...
Nesrine Ben Mustapha, Marie-Aude Aufaure, Hajer Ba...