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» Results of the Ontology Alignment Evaluation Initiative 2007
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WWW
2007
ACM
14 years 9 months ago
Hierarchical, perceptron-like learning for ontology-based information extraction
Recent work on ontology-based Information Extraction (IE) has tried to make use of knowledge from the target ontology in order to improve semantic annotation results. However, ver...
Yaoyong Li, Kalina Bontcheva
NIPS
2001
13 years 9 months ago
Dynamic Time-Alignment Kernel in Support Vector Machine
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
Hiroshi Shimodaira, K.-I. Noma, Mitsuru Nakai, Shi...
BMCBI
2007
115views more  BMCBI 2007»
13 years 8 months ago
Comparing sequences without using alignments: application to HIV/SIV subtyping
Background: In general, the construction of trees is based on sequence alignments. This procedure, however, leads to loss of informationwhen parts of sequence alignments (for inst...
Gilles Didier, Laurent Debomy, Maude Pupin, Ming Z...
BMCBI
2004
196views more  BMCBI 2004»
13 years 8 months ago
MUSCLE: a multiple sequence alignment method with reduced time and space complexity
Background: In a previous paper, we introduced MUSCLE, a new program for creating multiple alignments of protein sequences, giving a brief summary of the algorithm and showing MUS...
Robert C. Edgar
ICAI
2007
13 years 10 months ago
An Evaluation of the Accuracy of Capturing User Intent for Information Retrieval
Abstract This paper reports our evaluation of the accuracy of capturing a user’s intent in an informationseeking task. Specifically, we would like to assess how accurately a use...
Hien Nguyen, Eugene Santos Jr.