89 search results - page 5 / 18 » Named Entity Recognition: A Maximum Entropy Approach Using G... |
COLING
2010
2010
Recognizing Medication related Entities in Hospital Discharge Summaries using Support Vector Machine
13 years 2 months ago
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...
EMNLP
2004
13 years 9 months ago
2004
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
SIGIR
2009
ACM
14 years 2 months ago
2009
ACM
This paper addresses the problem of Named Entity Recognition in Query (NERQ), which involves detection of the named entity in a given query and classification of the named entity...
LREC
2008
13 years 9 months ago
2008
Discovering relations among Named Entities (NEs) from large corpora is both a challenging, as well as useful task in the domain of Natural Language Processing, with applications i...
ACL
2008
13 years 9 months ago
2008
Statistical machine learning methods are employed to train a Named Entity Recognizer from annotated data. Methods like Maximum Entropy and Conditional Random Fields make use of fe...