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KDD
2004
ACM
141views Data Mining» more  KDD 2004»
16 years 3 days ago
A Maximum Entropy Approach to Biomedical Named Entity Recognition
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
Yi-Feng Lin, Tzong-Han Tsai, Wen-Chi Chou, Kuen-Pi...
EMNLP
2009
14 years 9 months ago
The role of named entities in Web People Search
The ambiguity of person names in the Web has become a new area of interest for NLP researchers. This challenging problem has been formulated as the task of clustering Web search r...
Javier Artiles, Enrique Amigó, Julio Gonzal...
106
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LREC
2010
155views Education» more  LREC 2010»
15 years 1 months ago
A Named Entity Labeler for German: Exploiting Wikipedia and Distributional Clusters
Named Entity Recognition is a relatively well-understood NLP task, with many publicly available training resources and software for English. Other languages tend to be underserved...
Grzegorz Chrupala, Dietrich Klakow
CLEF
2008
Springer
15 years 1 months ago
Experiments with Geographic Evidence Extracted from Documents
Abstract. For the 2008 participation at GeoCLEF, we focused on improving the extraction of geographic signatures from documents and optimising their use for GIR. The results show t...
Nuno Cardoso, Patrícia Sousa, Mário ...
BMCBI
2005
151views more  BMCBI 2005»
14 years 11 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...