Predicting Tasks in Goal-Oriented Spoken Dialog Systems using Semantic Knowledge Bases
By Aasish Pappu, Alexander I. Rudnicky. 2013
14 citations recorded by the source corpus.
Subfields: Natural Language Processing
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Natural Language Processing
- Jason Aaron Edward Weston
- Antoine Bordes
- Kurt Shuster
- Arthur Szlam
- Pierre-Emmanuel Mazaré
- Y-Lan Boureau
- Emily Dinan
- Mohit Bansal
Citations in the corpus
- Learning from Dialogue after Deployment: Feed Yourself, Chatbot! (2019, methodology): “There are other, somewhat less related, ways to use feedback during dialogue for learning, notably for collecting knowledge to answer questions (Mazumder et al., 2018; Hixon et al., 2015; Pappu and Rudnicky, 2013), and more commonly in re-”
- Dialog-based Language Learning (2016, background): “There is work on the the use of feedback and dialog for learning, notably for collecting knowledge to answer questions [8, 17], the use of natural language instruction for learning symbolic rules [10, 5] and the use of binary feedback (rewards) for learning parsers [3].”