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» Named Entity Recognition for Digitised Historical Texts
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BMCBI
2005
151views more  BMCBI 2005»
14 years 9 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...
ANLP
1997
190views more  ANLP 1997»
14 years 10 months ago
Disambiguation of Proper Names in Text
Identifying the occurrences of proper names in text and the entities they refer to can be a difficult task because of the manyto-many mapping between names and their referents. We...
Nina Wacholder, Yael Ravin, Misook Choi
LREC
2010
164views Education» more  LREC 2010»
14 years 11 months ago
Hybrid Citation Extraction from Patents
The Quaero project organized a set of evaluations of Named Entity recognition systems in 2009, including reference extraction in patent text. The LIMSI participated in this evalua...
Olivier Galibert, Sophie Rosset, Xavier Tannier, F...
COLING
2010
14 years 4 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
LREC
2008
250views Education» more  LREC 2008»
14 years 11 months ago
Identifying Foreign Person Names in Chinese Text
Foreign name expressions written in Chinese characters are difficult to recognize since the sequence of characters represents the Chinese pronunciation of the name. This paper sug...
Stephan Busemann, Yajing Zhang