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» Relation Extraction with Relation Topics
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101
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IPM
2006
64views more  IPM 2006»
15 years 3 months ago
Text mining without document context
We consider a challenging clustering task: the clustering of muti-word terms without document co-occurrence information in order to form coherent groups of topics. For this task, ...
Eric SanJuan, Fidelia Ibekwe-Sanjuan
145
Voted
XPU
2010
Springer
15 years 2 months ago
Auto-tagging Emails with User Stories Using Project Context
Abstract. In distributed agile teams, people often use email as a knowledge sharing tool to clarify the project requirements (aka user stories). Knowledge about the project include...
S. M. Sohan, Michael M. Richter, Frank Maurer
BMCBI
2010
90views more  BMCBI 2010»
15 years 4 months ago
PuTmiR: A database for extracting neighboring transcription factors of human microRNAs
Background: Some of the recent investigations in systems biology have revealed the existence of a complex regulatory network between genes, microRNAs (miRNAs) and transcription fa...
Sanghamitra Bandyopadhyay, Malay Bhattacharyya
LREC
2010
141views Education» more  LREC 2010»
15 years 5 months ago
Exploring Knowledge Bases for Similarity
Graph-based similarity over WordNet has been previously shown to perform very well on word similarity. This paper presents a study of the performance of such a graph-based algorit...
Eneko Agirre, Montse Cuadros, German Rigau, Aitor ...
AND
2010
15 years 1 months ago
Statement map: reducing web information credibility noise through opinion classification
On the Internet, users often encounter noise in the form of spelling errors or unknown words, however, dishonest, unreliable, or biased information also acts as noise that makes i...
Koji Murakami, Eric Nichols, Junta Mizuno, Yotaro ...