Frustratingly Easy Domain Adaptation
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Summary
This work describes an approach to domain adaptation that is appropriate exactly in the case when one has enough “target” data to do slightly better than just using only “source’ data.
- Type
- preprint
- Published
- 2007-06-01
- Cited by
- 1,845
- References
- 15
- Access
- Open access
- OpenAlex
- https://openalex.org/W2120354757
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:5360764
Keywords
Adaptation (eye), Computer science, Domain adaptation, Domain (mathematical analysis), Psychology
References
- Adaptation of Maximum Entropy Capitalizer: Little Data Can Help a Lo
- Domain Adaptation for Statistical Classifiers
- Domain Adaptation with Structural Correspondence Learning
- Search-based structured prediction
- Analysis of Representations for Domain Adaptation
- Notes on CG and LM-BFGS Optimization of Logistic Regression
- Machine Learning manuscript No. (will be inserted by the editor) Search-based Structured Prediction
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- Feature-Rich Information Extraction for the Technical Trend-Map Creation
- Semi-Supervised Kernel Matching for Domain Adaptation
- Topic Modeling-based Domain Adaptation for System Combination
- Structural and Topical Dimensions in Multi-Task Patent Translation
- Transfer Learning Methods and Applications in Computational Biology
- Machine learning in health informatics: making better use of domain experts
- We’re Not in Kansas Anymore: Detecting Domain Changes in Streams
- Exploring Representation-Learning Approaches to Domain Adaptation
- SpatialML: Annotation Scheme, Corpora, and Tools
- Exploiting domain and task regularities for robust named entity recognition
- Sentiment analysis within and across social media streams
- Domain Adaptation meets Active Learning
- SemanticNews: Enriching publishing of news stories
- Domain Adaptation for Sequence Labeling Tasks with a Probabilistic Language Adaptation Model
- Automatic Domain Adaptation for Parsing
- Domain-specific word sense disambiguation
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