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EMNLP
2007
9 years 4 months ago
Adapting the RASP System for the CoNLL07 Domain-Adaptation Task
We describe our submission to the domain adaptation track of the CoNLL07 shared task in the open class for systems using external resources. Our main finding was that it was very...
Rebecca Watson, Ted Briscoe
ACML
2009
Springer
9 years 7 months ago
Learning Algorithms for Domain Adaptation
A fundamental assumption for any machine learning task is to have training and test data instances drawn from the same distribution while having a sufficiently large number of tra...
Manas A. Pathak, Eric Nyberg
ACL
2015
3 years 10 months ago
Event Detection and Domain Adaptation with Convolutional Neural Networks
We study the event detection problem using convolutional neural networks (CNNs) that overcome the two fundamental limitations of the traditional feature-based approaches to this t...
Thien Huu Nguyen, Ralph Grishman
EMNLP
2010
9 years 15 days ago
Domain Adaptation of Rule-Based Annotators for Named-Entity Recognition Tasks
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...
Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao ...
NAACL
2010
9 years 12 days ago
Automatic Domain Adaptation for Parsing
Current statistical parsers tend to perform well only on their training domain and nearby genres. While strong performance on a few related domains is sufficient for many situatio...
David McClosky, Eugene Charniak, Mark Johnson
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