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ICMCS
2005
IEEE
105views Multimedia» more  ICMCS 2005»
14 years 3 months ago
Speech-Based Visual Concept Learning Using Wordnet
Modeling visual concepts using supervised or unsupervised machine learning approaches are becoming increasing important for video semantic indexing, retrieval, and filtering appli...
Xiaodan Song, Ching-Yung Lin, Ming-Ting Sun
ACL
2011
13 years 1 months ago
Learning Word Vectors for Sentiment Analysis
Unsupervised vector-based approaches to semantics can model rich lexical meanings, but they largely fail to capture sentiment information that is central to many word meanings and...
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Da...
AAAI
2012
12 years 1 days ago
Fine-Grained Entity Recognition
Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications. Unfortunately, most ER systems are restricted to...
Xiao Ling, Daniel S. Weld
IUI
2010
ACM
14 years 6 months ago
Usage patterns and latent semantic analyses for task goal inference of multimodal user interactions
This paper describes our work in usage pattern analysis and development of a latent semantic analysis framework for interpreting multimodal user input consisting speech and pen ge...
Pui-Yu Hui, Wai Kit Lo, Helen M. Meng
KDD
2009
ACM
200views Data Mining» more  KDD 2009»
14 years 4 months ago
Visual analysis of documents with semantic graphs
In this paper, we present a technique for visual analysis of documents based on the semantic representation of text in the form of a directed graph, referred to as semantic graph....
Delia Rusu, Blaz Fortuna, Dunja Mladenic, Marko Gr...