In natural language processing (NLP), deep neural networks (DNNs) could ...
Most crowdsourcing learning methods treat disagreement between annotator...
Crowd sequential annotations can be an efficient and cost-effective way ...
Existing disambiguation strategies for partial structured output learnin...
Existing partial sequence labeling models mainly focus on max-margin
fra...
Existing methods for keyphrase extraction need preprocessing to generate...
It is challenging to train a good intent classifier for a task-oriented
...
This article focuses on the study of Word Embedding, a feature-learning
...