Sciweavers

119 search results - page 7 / 24
» Discovering word senses from text
Sort
View
KDD
2005
ACM
163views Data Mining» more  KDD 2005»
14 years 26 days ago
Web mining from competitors' websites
This paper presents a framework for user-oriented text mining. It is then illustrated with an example of discovering knowledge from competitors’ websites. The knowledge to be di...
Xin Chen, Yi-fang Brook Wu
JMLR
2012
11 years 9 months ago
Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing
Open-text semantic parsers are designed to interpret any statement in natural language by inferring a corresponding meaning representation (MR – a formal representation of its s...
Antoine Bordes, Xavier Glorot, Jason Weston, Yoshu...
TKDE
2008
103views more  TKDE 2008»
13 years 7 months ago
Detecting Word Substitutions in Text
Searching for words on a watchlist is one way in which large-scale surveillance of communication can be done, for example, in intelligence and counterterrorism settings. One obviou...
SzeWang Fong, Dmitri Roussinov, David B. Skillicor...
ECAI
2004
Springer
14 years 23 days ago
An Intrinsic Information Content Metric for Semantic Similarity in WordNet
Information Content (IC) is an important dimension of word knowledge when assessing the similarity of two terms or word senses. The conventional way of measuring the IC of word sen...
Nuno Seco, Tony Veale, Jer Hayes
EMNLP
2006
13 years 8 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...