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» Proper Name Extraction from Non-Journalistic Texts
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BMCBI
2005
151views more  BMCBI 2005»
13 years 8 months ago
ProMiner: rule-based protein and gene entity recognition
Background: Identification of gene and protein names in biomedical text is a challenging task as the corresponding nomenclature has evolved over time. This has led to multiple syn...
Daniel Hanisch, Katrin Fundel, Heinz-Theodor Mevis...
GFKL
2007
Springer
152views Data Mining» more  GFKL 2007»
14 years 2 months ago
Supporting Web-based Address Extraction with Unsupervised Tagging
Abstract. The manual acquisition and modeling of tourist information as e.g. addresses of points of interest is time and, therefore, cost intensive. Furthermore, the encoded inform...
Berenike Loos, Chris Biemann
ACL
2006
13 years 9 months ago
On-Demand Information Extraction
At present, adapting an Information Extraction system to new topics is an expensive and slow process, requiring some knowledge engineering for each new topic. We propose a new par...
Satoshi Sekine
ANLP
2000
127views more  ANLP 2000»
13 years 9 months ago
Answer Extraction
Information retrieval systems have typically concentrated on retrieving a set of documents which are relevant to a user's query. This paper describes a system that attempts t...
Steven P. Abney, Michael Collins, Amit Singhal
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