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Semantic Information Extraction for Improved Word Embeddings
Semantic Information Extraction Improved Word Embeddings
2016/1/22
Word embeddings have recently proven useful in a number of different applications that deal with natural language. Such embeddings suc-cinctly reflect semantic similarities between words based on thei...
Word Sense Disambiguation in Information Retrieval
disambiguation algorithms natural language processing word sense disambiguation
2009/11/30
The natural language processing has a set of phases that evolves from lexical text analysis to the pragmatic one in which the author’s intentions are shown. The ambiguity problem appears in all of the...
A NOVEL FEATURE EXTRACTION METHOD FOR ISOLATED WORD RECOGNITION BASED ON NESTED TEMPORAL AVERAGING
Speech recognition Pattern classification Neural Networks Support Vector Machines
2006/1/12
A novel preprocessing method is proposed. It has a reduced complexity and therefore is aimed to be used in low power, VLSI implemented, speech recognizers. Our algorithm extracts a feature vector made...
A Comparison Between Etymon- and Word-Based Chinese Sign Language Recognition Systems
Comparison Between Etymon- Word-Based Chinese Sign Language Recognition Systems
2005/7/23
Hitherto, one major challenge to sign language recognition is how to develop approaches that scale well with increasing vocabulary size. In large vocabulary speech recognition realm, it is effective t...