16 citations · 18 across the 4 of their papers we have counts for
4 papers
PIZZA: A new benchmark for complex end-to-end task-oriented parsing
Konstantine Arkoudas, Nicolas Guenon des Mesnards, Melanie Rubino +4
Much recent work in task-oriented parsing has focused on finding a middle ground between flat slots and intents, which are inexpressive but easy to annotate, and powerful represent…
Cross-TOP: Zero-Shot Cross-Schema Task-Oriented Parsing
Melanie Rubino, Nicolas Guenon des Mesnards, Uday Shah +3
Deep learning methods have enabled task-oriented semantic parsing of increasingly complex utterances. However, a single model is still typically trained and deployed for each task…
Compositional Task-Oriented Parsing as Abstractive Question Answering
Wenting Zhao, Konstantine Arkoudas, Weiqi Sun +1
Task-oriented parsing (TOP) aims to convert natural language into machine-readable representations of specific tasks, such as setting an alarm. A popular approach to TOP is to appl…
CLIP2TV: Align, Match and Distill for Video-Text Retrieval
Zijian Gao, Jingyu Liu, Weiqi Sun +3
Modern video-text retrieval frameworks basically consist of three parts: video encoder, text encoder and the similarity head. With the success on both visual and textual representa…