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Papers
Neural Structural Correspondence Learning for Domain Adaptation
CoNLL 2017
Neural vs. Phrase-Based Machine Translation in a Multi-Domain Scenario
EACL 2017
NITE: A Neural Inductive Teaching Framework for Domain Specific NER
EMNLP 2017
NTU-1 at SemEval-2017 Task 12: Detection and classification of temporal events in clinical data with domain adaptation
SemEval 2017
One-Sided Unsupervised Domain Mapping
NeurIPS 2017
On Gleaning Knowledge from Multiple Domains for Active Learning
IJCAI 2017
On Multi-Domain Training and Adaptation of End-to-End RNN Acoustic Models for Distant Speech Recognition
Interspeech 2017
Out-of-domain FrameNet Semantic Role Labeling
EACL 2017
Parser Adaptation for Social Media by Integrating Normalization
ACL 2017
Part-of-Speech Tagging for Twitter with Adversarial Neural Networks
EMNLP 2017
Personalized Machine Translation: Preserving Original Author Traits
EACL 2017
Population Matching Discrepancy and Applications in Deep Learning
NeurIPS 2017
Practical Neural Machine Translation
EACL 2017
Regularization techniques for fine-tuning in neural machine translation
EMNLP 2017
Semi-Supervised Adaptation of RNNLMs by Fine-Tuning with Domain-Specific Auxiliary Features
Interspeech 2017
Semi-Supervised QA with Generative Domain-Adaptive Nets
ACL 2017
Sentence Embedding for Neural Machine Translation Domain Adaptation
ACL 2017
Single and Cross-domain Polarity Classification using String Kernels
EACL 2017
Speaker Verification Under Adverse Conditions Using i-Vector Adaptation and Neural Networks
Interspeech 2017
Style Transfer from Non-Parallel Text by Cross-Alignment
NeurIPS 2017
Theoretic Analysis and Extremely Easy Algorithms for Domain Adaptive Feature Learning
IJCAI 2017
Towards Zero-Shot Frame Semantic Parsing for Domain Scaling
Interspeech 2017
Triangle Generative Adversarial Networks
NeurIPS 2017
Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension
EMNLP 2017
Understanding How Feature Structure Transfers in Transfer Learning
IJCAI 2017