← Back to papers
2017 CONLL CoNLL 2017

Adversarial Training for Cross-Domain Universal Dependency Parsing

🌉 Interdisciplinary Bridge — Machine Learning and Natural Language Processing
🧭 Keyword Pioneer — cross-domain parsing
🐣 Hot Topic Early Bird — domain adaptation
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Speech & Audio

Authors

Motoki Sato , Hitoshi Manabe , Hiroshi Noji , Yuji Matsumoto

Topics

Machine Learning > Application Areas > Domain Adaptation Natural Language Processing > Understanding > Parsing

Keywords

domain adaptation adversarial training cross-domain parsing neural dependency parser graph-based dependency parsing
Download PDF

Related papers

Neural Sequence-to-sequence Learning of Internal Word Structure 2017
An Automatic Approach for Document-level Topic Model Evaluation 2017
Robust Coreference Resolution and Entity Linking on Dialogues: Character Identification on TV Show Transcripts 2017
Knowledge Tracing in Sequential Learning of Inflected Vocabulary 2017
A Probabilistic Generative Grammar for Semantic Parsing 2017