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» Word Importance Discrimination Using Context Information
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SIGIR
2003
ACM
15 years 3 months ago
Domain-independent text segmentation using anisotropic diffusion and dynamic programming
This paper presents a novel domain-independent text segmentation method, which identifies the boundaries of topic changes in long text documents and/or text streams. The method c...
Xiang Ji, Hongyuan Zha
IJCNLP
2005
Springer
15 years 3 months ago
Topic Tracking Based on Linguistic Features
This paper explores two linguistically motivated restrictions on the set of words used for topic tracking on newspaper articles: named entities and headline words. We assume that n...
Fumiyo Fukumoto, Yusuke Yamaji
IPPS
2008
IEEE
15 years 4 months ago
Assuring information quality in e-Science
In this paper we outline a framework for assuring information quality (IQ) in an e-Science context, using semiotics theory, semantic explanation of resources, and data couplings. ...
Ying Su, Zhanming Jin, Jie Peng
RECOMB
2003
Springer
15 years 10 months ago
Maximum entropy modeling of short sequence motifs with applications to RNA splicing signals
We propose a framework for modeling sequence motifs based on the maximum entropy principle (MEP). We recommend approximating short sequence motif distributions with the maximum en...
Gene W. Yeo, Christopher B. Burge
ENTCS
2011
130views more  ENTCS 2011»
14 years 4 months ago
Bell States and Negative Sentences in the Distributed Model of Meaning
We use Bell states to provide compositional distributed meaning for negative sentences of English. The lexical meaning of each word of the sentence is a context vector obtained wi...
Anne Preller, Mehrnoosh Sadrzadeh