596 search results - page 8 / 120 » Text Mining at the Term Level |
111
click to vote
CIKM
2008
Springer
15 years 1 months ago
2008
Springer
Finding biological entities (such as genes or proteins) that satisfy certain conditions from texts is an important and challenging task in biomedical information retrieval and tex...
84
Voted
LREC
2008
15 years 1 months ago
2008
It is a challenging task to match similar or related terms/expressions in NLP and Text Mining applications. Two typical areas in need for such work are terminology and ontology co...
115
Voted
CICLING
2010
Springer
15 years 3 months ago
2010
Springer
Term weighting strongly influences the performance of text mining and information retrieval approaches. Usually term weights are determined through statistical estimates based on s...
114
Voted
CICLING
2007
Springer
15 years 3 months ago
2007
Springer
In biomedical articles, terms often refer to different protein entities. For example, an arbitrary occurrence of term p53 might denote thousands of proteins across a number of spec...
85
Voted
ICDM
2007
IEEE
15 years 6 months ago
2007
IEEE
We propose a new technique for clustering of text documents that relies on a biclustering structure constructed on terms and documents. Our approach makes use of a greedy algorith...