It is common to fine-tune pre-trained word embeddings in text categorization.However,we find that fine-tuning does not guarantee improvement across text categorization datasets,while could introduce c
Named entity recognition(NER)in Chinese electronic medical records(EMRs)has become an important task of clinical natural language processing(NLP).However,limited studies have been performed on the cli
Keyphrase extraction can provide effective ways of organiz-ing scientific documents.For this task,neural-based methods usually suffer from performance unstability due to data scarcity.In this paper,we
Recent studies have shown effectiveness in using neural networks for Chinese Word Segmentation(CWS).However,these models,constrained by the domain and size of the training corpus,do not work well in d
Automated essay scoring aims to score an essay automatically without any human assistance.Traditional methods heavily rely on manual feature engi-neering,making it expensive to extract the features.So
In this paper,we conduct a review headline generation task that produces a short headline from a review post by a user.We ar-gue that this task is more challenging than document summarization,because
Commonsense Reading Comprehension(CRC)is a significantly challenging task,aiming at choosing the right answer for the question referring to a narrative passage,which may require commonsense knowledge