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» Automatically Discovering Word Senses
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ICPR
2008
IEEE
14 years 2 months ago
Automatic video annotation with adaptive number of key words
Retrieving videos using key words requires obtaining the semantic features of the videos. Most work reported in the literature focuses on annotating a video shot with a fixed numb...
Fangshi Wang, Wei Lu, Jingen Liu, Mubarak Shah, De...
NAACL
2004
13 years 9 months ago
Automatically Labeling Semantic Classes
Systems that automatically discover semantic classes have emerged in part to address the limitations of broad-coverage lexical resources such as WordNet and Cyc. The current state...
Patrick Pantel, Deepak Ravichandran
ICASSP
2011
IEEE
12 years 11 months ago
Automatically finding semantically consistent n-grams to add new words in LVCSR systems
This paper presents a new method to automatically add n-grams containing out-of-vocabulary (OOV) words to a baseline language model (LM), where these n-grams are sought to be gram...
Gwénolé Lecorvé, Guillaume Gr...
EMNLP
2006
13 years 9 months ago
Graph-based Word Clustering using a Web Search Engine
Word clustering is important for automatic thesaurus construction, text classification, and word sense disambiguation. Recently, several studies have reported using the web as a c...
Yutaka Matsuo, Takeshi Sakaki, Koki Uchiyama, Mits...
COLING
2008
13 years 9 months ago
Good Neighbors Make Good Senses: Exploiting Distributional Similarity for Unsupervised WSD
We present an automatic method for senselabeling of text in an unsupervised manner. The method makes use of distributionally similar words to derive an automatically labeled train...
Samuel Brody, Mirella Lapata