We aim to address the problem of Natural Language Video Localization (NLVL) — localizing video segment corresponding a natural language description in long and untrimmed video. State-of-the-art NLVL methods are almost one-stage fashion, which can be typically grouped into two categories: 1) anchor-based approach: it first pre-defines series candidates (e.g., by sliding window), then does classi...

The automatic recognition of dialogue act is a task of crucial importance for the processing of natural language dialogue at discourse level. It is also one of the most challenging problems as most often the dialogue act is not expressed directly in speaker’s utterance. In this paper, a new cue-based model for dialogue act recognition is presented. The model is, essentially, a dynamic Bayesian ...

Recently proposed machine comprehension (MC) application is an effort to deal with natural language understanding problem. However, the small size of machine comprehension labeled data confines the application of deep neural networks architectures that have shown advantage in semantic inference tasks. Previous methods use a lot of NLP tools to extract linguistic features but only gain little im...

in recent years, natural disasters and the accompanying health risks have become more frequent, and rehabilitation work has become an important part of government performance. on one hand, social networks play an important role in participants' therapeutic community participation and physical & mental recovery. on the other hand, therapeutic communities with widespread participation can also co...