106 search results - page 1 / 22 » Trained Named Entity Recognition using Distributional Cluste... |
EMNLP
2004
13 years 5 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...
LREC
2010
13 years 5 months ago
2010
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...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Named Entity (NE) recognition from the results of Automatic Speech Recognition (ASR) is challenging because of ASR errors. To detect NEs, one of the options is to use a statistica...
EMNLP
2009
13 years 2 months ago
2009
Bootstrapping is the process of improving the performance of a trained classifier by iteratively adding data that is labeled by the classifier itself to the training set, and retr...
CICLING
2010
Springer
13 years 4 months ago
2010
Springer
Named Entity Recognition and Classification is being studied for last two decades. Since semantic features take huge amount of training time and are slow in inference, the existing...