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» Learning for Sequence Extraction Tasks
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AI
2000
Springer
13 years 8 months ago
Wrapper induction: Efficiency and expressiveness
The Internet presents numerous sources of useful information--telephone directories, product catalogs, stock quotes, event listings, etc. Recently, many systems have been built th...
Nicholas Kushmerick
COLING
2010
13 years 3 months ago
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine
Due to the lack of annotated data sets, there are few studies on machine learning based approaches to extract named entities (NEs) in clinical text. The 2009 i2b2 NLP challenge is...
Son Doan, Hua Xu
SEMWEB
2010
Springer
13 years 6 months ago
Supporting Natural Language Processing with Background Knowledge: Coreference Resolution Case
Systems based on statistical and machine learning methods have been shown to be extremely effective and scalable for the analysis of large amount of textual data. However, in the r...
Volha Bryl, Claudio Giuliano, Luciano Serafini, Ka...
BMCBI
2010
123views more  BMCBI 2010»
13 years 3 months ago
Predicting conserved protein motifs with Sub-HMMs
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Kevin Horan, Christian R. Shelton, Thomas Girke
MVA
2007
211views Computer Vision» more  MVA 2007»
13 years 10 months ago
Vision-based UAV Navigation in Mountain Area
Most vision-based UAV (Unmanned Aerial Vehicle) navigation algorithms extract manmade features such as buildings or roads, which are well structured in urban terrain, using the CC...
Jihwan Woo, Kilho Son, Teng Li, Gwan Sung Kim, In-...