Search Results for author:
Found 4 papers, 2 papers with code
Video Referring Expression Comprehension via Transformer with Content-aware Query
To this end, we introduce two new datasets (i. e., VID-Entity and VidSTG-Entity) by augmenting the VIDSentence and VidSTG datasets with the explicitly referred words in the whole sentence, respectively.
A Dynamic Graph Interactive Framework with Label-Semantic Injection for Spoken Language Understanding
Multi-intent detection and slot filling joint models are gaining increasing traction since they are closer to complicated real-world scenarios.
Improve Retrieval-based Dialogue System via Syntax-Informed Attention
Since incorporating syntactic information like dependency structures into neural models can promote a better understanding of the sentences, such a method has been widely used in NLP tasks.
Video Referring Expression Comprehension via Transformer with Content-conditioned Query
Video Referring Expression Comprehension (REC) aims to localize a target object in videos based on the queried natural language.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
