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JAIR
2006
137views more  JAIR 2006»
13 years 8 months ago
Learning Sentence-internal Temporal Relations
In this paper we propose a data intensive approach for inferring sentence-internal temporal relations. Temporal inference is relevant for practical NLP applications which either e...
Maria Lapata, Alex Lascarides
ICML
2005
IEEE
14 years 9 months ago
Predicting protein folds with structural repeats using a chain graph model
Protein fold recognition is a key step towards inferring the tertiary structures from amino-acid sequences. Complex folds such as those consisting of interacting structural repeat...
Yan Liu, Eric P. Xing, Jaime G. Carbonell
BIBE
2007
IEEE
138views Bioinformatics» more  BIBE 2007»
14 years 3 months ago
A Flexible Stem-Based Local Search Algorithm for Predicting RNA Secondary Structures Including Pseudoknots
-We demonstrate a new algorithm named FlexStem to predict RNA secondary structures with pseudoknots. Our approach is based on the free energy minimization criterion, and utilizes a...
Xiang Chen, Simin He, Dongbo Bu, Runsheng Chen, We...
ER
2008
Springer
108views Database» more  ER 2008»
13 years 10 months ago
Automatic Extraction of Structurally Coherent Mini-Taxonomies
In this paper we demonstrate an automatic approach for emergent semantics modeling of ontologies. We follow the collaborative ontology construction method without the direct intera...
Khalid Saleem, Zohra Bellahsene
BIOINFORMATICS
2010
87views more  BIOINFORMATICS 2010»
13 years 8 months ago
Improving protein secondary structure prediction using a simple k-mer model
Motivation: Existing methods for protein sequence analysis are generally firstorder and inherently assume that each position is independent. We develop a general framework for int...
Martin Madera, Ryan Calmus, Grant Thiltgen, Kevin ...