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ACL
2007
13 years 6 months ago
Unsupervised Language Model Adaptation Incorporating Named Entity Information
Language model (LM) adaptation is important for both speech and language processing. It is often achieved by combining a generic LM with a topic-specific model that is more releva...
Feifan Liu, Yang Liu
ICASSP
2008
IEEE
13 years 11 months ago
Unsupervised language model adaptation via topic modeling based on named entity hypotheses
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
Yang Liu, Feifan Liu
ACL
2008
13 years 6 months ago
Exploiting Feature Hierarchy for Transfer Learning in Named Entity Recognition
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...
Andrew Arnold, Ramesh Nallapati, William W. Cohen
CIKM
2007
Springer
13 years 6 months ago
Proximity-based document representation for named entity retrieval
One aspect in which retrieving named entities is different from retrieving documents is that the items to be retrieved – persons, locations, organizations – are only indirect...
Desislava Petkova, W. Bruce Croft
LREC
2008
121views Education» more  LREC 2008»
13 years 5 months ago
Holy Moses! Leveraging Existing Tools and Resources for Entity Translation
Recently, there has been an emphasis on creating shared resources for natural language processing applications. This has resulted in the development of high-quality tools and data...
Jean Tavernier, Rosa Cowan, Michelle Vanni