Hierarchical mixtures of experts and the EM algorithm
Neural Computation
Inducing Features of Random Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Machine Learning - Special issue on inductive transfer
Maximum conditional likelihood via bound maximization and the CEM algorithm
Proceedings of the 1998 conference on Advances in neural information processing systems II
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Maximum Entropy Markov Models for Information Extraction and Segmentation
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Information extraction from biomedical text
Journal of Biomedical Informatics - Special issue: Sublanguage
An extensive empirical study of feature selection metrics for text classification
The Journal of Machine Learning Research
Supervised grammar induction using training data with limited constituent information
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Information extraction from voicemail
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
Supervised and unsupervised PCFG adaptation to novel domains
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Improving Machine Translation Performance by Exploiting Non-Parallel Corpora
Computational Linguistics
A comparison of algorithms for maximum entropy parameter estimation
COLING-02 proceedings of the 6th conference on Natural language learning - Volume 20
On-line algorithms for combining language models
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
HLT-NAACL-Short '04 Proceedings of HLT-NAACL 2004: Short Papers
A model of inductive bias learning
Journal of Artificial Intelligence Research
Customization in a unified framework for summarizing medical literature
Artificial Intelligence in Medicine
Boosting for transfer learning
Proceedings of the 24th international conference on Machine learning
Co-clustering based classification for out-of-domain documents
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
A two-stage approach to domain adaptation for statistical classifiers
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Covariate Shift Adaptation by Importance Weighted Cross Validation
The Journal of Machine Learning Research
Knowledge transfer via multiple model local structure mapping
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Spectral domain-transfer learning
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Iterative Reinforcement Cross-Domain Text Classification
ADMA '08 Proceedings of the 4th international conference on Advanced Data Mining and Applications
Actively Transfer Domain Knowledge
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Intra-document structural frequency features for semi-supervised domain adaptation
Proceedings of the 17th ACM conference on Information and knowledge management
Cross-language query classification using web search for exogenous knowledge
Proceedings of the Second ACM International Conference on Web Search and Data Mining
Multi-domain spoken language understanding with transfer learning
Speech Communication
Adapting Naive Bayes to Domain Adaptation for Sentiment Analysis
ECIR '09 Proceedings of the 31th European Conference on IR Research on Advances in Information Retrieval
EigenTransfer: a unified framework for transfer learning
ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning
Glen, Glenda or Glendale: unsupervised and semi-supervised learning of English noun gender
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
On robustness and domain adaptation using SVD for word sense disambiguation
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Supervised domain adaption for WSD
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Structural correspondence learning for parse disambiguation
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop
Domain adaptation with structural correspondence learning
EMNLP '06 Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing
UMAP '09 Proceedings of the 17th International Conference on User Modeling, Adaptation, and Personalization: formerly UM and AH
Word sense disambiguation using OntoNotes: an empirical study
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Feature Selection by Transfer Learning with Linear Regularized Models
ECML PKDD '09 Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: Part I
Transferring naive bayes classifiers for text classification
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 1
Importance of semantic representation: dataless classification
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Text categorization with knowledge transfer from heterogeneous data sources
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 2
Transferring localization models over time
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Domain adaptation with latent semantic association for named entity recognition
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Hierarchical Bayesian domain adaptation
NAACL '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Improving SCL model for sentiment-transfer learning
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
SemEval-2010 task 17: all-words word sense disambiguation on a specific domain
DEW '09 Proceedings of the Workshop on Semantic Evaluations: Recent Achievements and Future Directions
SentiRank: Cross-Domain Graph Ranking for Sentiment Classification
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Ranking model adaptation for domain-specific search
Proceedings of the 18th ACM conference on Information and knowledge management
Large margin transductive transfer learning
Proceedings of the 18th ACM conference on Information and knowledge management
A risk minimization framework for domain adaptation
Proceedings of the 18th ACM conference on Information and knowledge management
Cross-domain sentiment classification using a two-stage method
Proceedings of the 18th ACM conference on Information and knowledge management
Co-training for cross-lingual sentiment classification
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Distributional representations for handling sparsity in supervised sequence-labeling
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
Learning and Domain Adaptation
DS '09 Proceedings of the 12th International Conference on Discovery Science
Transfer Learning beyond Text Classification
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Automatic Choice of Control Measurements
ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning
Domain adaptive bootstrapping for named entity recognition
EMNLP '09 Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing: Volume 3 - Volume 3
Active reranking for web image search
IEEE Transactions on Image Processing
Domain adaptation for conditional random fields
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Multiple source adaptation and the Rényi divergence
UAI '09 Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence
Learning and domain adaptation
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Object Recognition in 3D Point Clouds Using Web Data and Domain Adaptation
International Journal of Robotics Research
Learning to rank only using training data from related domain
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Domain adaptation meets active learning
ALNLP '10 Proceedings of the NAACL HLT 2010 Workshop on Active Learning for Natural Language Processing
Unsupervised Part-of-Speech Tagging in the Large
Research on Language and Computation
Domain adaptation to summarize human conversations
DANLP 2010 Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language Processing
Exploring representation-learning approaches to domain adaptation
DANLP 2010 Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language Processing
Using domain similarity for performance estimation
DANLP 2010 Proceedings of the 2010 Workshop on Domain Adaptation for Natural Language Processing
Discriminative instance weighting for domain adaptation in statistical machine translation
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Extracting opinion targets in a single- and cross-domain setting with conditional random fields
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Exploring variations across biomedical subdomains
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Semantic role labeling for news tweets
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Opinion mining by transformation-based domain adaptation
TSD'10 Proceedings of the 13th international conference on Text, speech and dialogue
Stationary subspace analysis as a generalized eigenvalue problem
ICONIP'10 Proceedings of the 17th international conference on Neural information processing: theory and algorithms - Volume Part I
Which clustering do you want? inducing your ideal clustering with minimal feedback
Journal of Artificial Intelligence Research
Weighted SCL model for adaptation of sentiment classification
Expert Systems with Applications: An International Journal
Knowledge transfer based on feature representation mapping for text classification
Expert Systems with Applications: An International Journal
Transfer learning via multi-view principal component analysis
Journal of Computer Science and Technology - Special issue on natural language processing
Domain adaptation by constraining inter-domain variability of latent feature representation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Query weighting for ranking model adaptation
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Automatically extracting polarity-bearing topics for cross-domain sentiment classification
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1
Better automatic treebank conversion using a feature-based approach
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Transfer learning through domain adaptation
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part III
Relevant knowledge helps in choosing right teacher: active query selection for ranking adaptation
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Language models as representations for weakly-supervised NLP tasks
CoNLL '11 Proceedings of the Fifteenth Conference on Computational Natural Language Learning
Localized factor models for multi-context recommendation
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Multi-task clustering via domain adaptation
Pattern Recognition
Multi-task regularization of generative similarity models
SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition
Context-aware collaborative data stream mining in ubiquitous devices
IDA'11 Proceedings of the 10th international conference on Advances in intelligent data analysis X
Bilingual co-training for sentiment classification of chinese product reviews
Computational Linguistics
Pairwise cross-domain factor model for heterogeneous transfer ranking
Proceedings of the fifth ACM international conference on Web search and data mining
Syntactic chunking across different corpora
MLMI'06 Proceedings of the Third international conference on Machine Learning for Multimodal Interaction
A case study on meta-generalising: a Gaussian processes approach
The Journal of Machine Learning Research
Biographies or blenders: which resource is best for cross-domain sentiment analysis?
CICLing'12 Proceedings of the 13th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Distance metric learning under covariate shift
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Heterogeneous domain adaptation using manifold alignment
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Two
Cross-Guided Clustering: Transfer of Relevant Supervision across Tasks
ACM Transactions on Knowledge Discovery from Data (TKDD)
Cross-genre and cross-domain detection of semantic uncertainty
Computational Linguistics
Proceedings of the 1st International Workshop on Cross Domain Knowledge Discovery in Web and Social Network Mining
Journal of Artificial Intelligence Research
Analyzing Urdu social media for sentiments using transfer learning with controlled translations
LSM '12 Proceedings of the Second Workshop on Language in Social Media
Mixing multiple translation models in statistical machine translation
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Information-theoretic multi-view domain adaptation
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Short Papers - Volume 2
Multi-domain learning: when do domains matter?
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Joshua 4.0: packing, PRO, and paraphrases
WMT '12 Proceedings of the Seventh Workshop on Statistical Machine Translation
Dictionary based sparse representation for domain adaptation
Proceedings of the 21st ACM international conference on Information and knowledge management
Bidirectional semi-supervised learning with graphs
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Learning and transferring geographically weighted regression trees across time
MSM'11 Proceedings of the 2011 international conference on Modeling and Mining Ubiquitous Social Media
A Comparative Study of Cross-Lingual Sentiment Classification
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Explanation in computational stylometry
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume 2
Unsupervised feature adaptation for cross-domain NLP with an application to compositionality grading
CICLing'13 Proceedings of the 14th international conference on Computational Linguistics and Intelligent Text Processing - Volume Part I
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
Inferring the demographics of search users: social data meets search queries
Proceedings of the 22nd international conference on World Wide Web
Document sublanguage clustering to detect medical specialty in cross-institutional clinical texts
Proceedings of the 7th international workshop on Data and text mining in biomedical informatics
Democracy is good for ranking: towards multi-view rank learning and adaptation in web search
Proceedings of the 7th ACM international conference on Web search and data mining
Transfer learning with one-class data
Pattern Recognition Letters
A feature-based approach to better automatic treebank conversion
Language Resources and Evaluation
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The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applications, the "in-domain" test data is drawn from a distribution that is related, but not identical, to the "out-of-domain" distribution of the training data. We consider the common case in which labeled out-of-domain data is plentiful, but labeled in-domain data is scarce. We introduce a statistical formulation of this problem in terms of a simple mixture model and present an instantiation of this framework to maximum entropy classifiers and their linear chain counterparts. We present efficient inference algorithms for this special case based on the technique of conditional expectation maximization. Our experimental results show that our approach leads to improved performance on three real world tasks on four different data sets from the natural language processing domain.