← Back to papers
2018 CONLL CoNLL 2018

Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation

🌉 Interdisciplinary Bridge — Deep Learning and Natural Language Processing
🧭 Keyword Pioneer — contextualized word embedding
🐝 Cross-Pollinator — Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Security & Privacy, Speech & Audio

Authors

Wanxiang Che , Yijia Liu , Yuxuan Wang , Bo Zheng , Ting Liu

Topics

Deep Learning > Architectures > Neural Networks Natural Language Processing > Understanding > Parsing

Keywords

universal dependencies dependency parsing pos tagging contextualized word embedding treebank concatenation
Download PDF

Related papers

A Unified Neural Network Model for Geolocating Twitter Users 2018
Latent Entities Extraction: How to Extract Entities that Do Not Appear in the Text? 2018
Uncovering Divergent Linguistic Information in Word Embeddings with Lessons for Intrinsic and Extrinsic Evaluation 2018
Predefined Sparseness in Recurrent Sequence Models 2018
Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit 2018