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NIPS
2004
15 years 14 days ago
Learning Syntactic Patterns for Automatic Hypernym Discovery
Semantic taxonomies such as WordNet provide a rich source of knowledge for natural language processing applications, but are expensive to build, maintain, and extend. Motivated by...
Rion Snow, Daniel Jurafsky, Andrew Y. Ng
IDT
2010
138views more  IDT 2010»
14 years 9 months ago
Challenging computer software frontiers and the human resistance to change
This paper examines the driving and opposing forces that are governing the current paradigm shift from a data-processing information technology environment without software intell...
Jens Pohl
110
Voted
ICIP
2004
IEEE
16 years 20 days ago
Discovering meaningful multimedia patterns with audio-visual concepts and associated text
The work presents the first effort to automatically annotate the semantic meanings of temporal video patterns obtained through unsupervised discovery processes. This problem is in...
Lexing Xie, Lyndon S. Kennedy, Shih-Fu Chang, Ajay...
92
Voted
ICMCS
2007
IEEE
132views Multimedia» more  ICMCS 2007»
15 years 5 months ago
An SVM Framework for Genre-Independent Scene Change Detection
We present a novel genre-independent SVM framework for detecting scene changes in broadcast video. Our framework works on content from a diverse range of genres by allowing sets o...
Naveen Goela, Kevin W. Wilson, Feng Niu, Ajay Diva...
ACL
2008
15 years 16 days ago
Unsupervised Discovery of Generic Relationships Using Pattern Clusters and its Evaluation by Automatically Generated SAT Analogy
We present a novel framework for the discovery and representation of general semantic relationships that hold between lexical items. We propose that each such relationship can be ...
Dmitry Davidov, Ari Rappoport