63 search results - page 1 / 13 » Domain adaptive bootstrapping for named entity recognition |
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...
EACL
2006
ACL Anthology
13 years 6 months ago
2006
ACL Anthology
Current Named Entity Recognition systems suffer from the lack of hand-tagged data as well as degradation when moving to other domain. This paper explores two aspects: the automati...
EMNLP
2010
13 years 2 months ago
2010
Named-entity recognition (NER) is an important task required in a wide variety of applications. While rule-based systems are appealing due to their well-known "explainability...
EMNLP
2004
13 years 6 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...
ACL
2008
13 years 6 months ago
2008
We present a novel hierarchical prior structure for supervised transfer learning in named entity recognition, motivated by the common structure of feature spaces for this task acr...