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Found 3 papers, 1 papers with code
QnAMaker: Data to Bot in 2 Minutes
We demonstrate QnAMaker, a service that creates a conversational layer over semi-structured data such as FAQ pages, product manuals, and support documents.
NELEC at SemEval-2019 Task 3: Think Twice Before Going Deep
The inability of deep-learning systems to robustly capture these covariates puts a cap on their performance.
Ranked #1 on
Emotion Recognition in Conversation
on EC
Emotion Recognition in Conversation
General Classification
+1
A Trustworthy, Responsible and Interpretable System to Handle Chit Chat in Conversational Bots
Our work introduces a pipeline for query understanding in chitchat using hierarchical intents as well as a way to use seq-seq auto-generation models in professional bots.
