Search Results for author:
Found 3 papers, 0 papers with code
Generalized Zero-shot Intent Detection via Commonsense Knowledge
Thus, these models should seamlessly adapt and classify utterances with both seen and unseen intents -- unseen intents emerge after deployment and they do not have training data.
Linguistically-Enriched and Context-Aware Zero-shot Slot Filling
Thus, it is imperative that these models seamlessly adapt and fill slots from both seen and unseen domains -- unseen domains contain unseen slot types with no training data, and even seen slots in unseen domains are typically presented in different contexts.
App-Aware Response Synthesis for User Reviews
Solving the challenge by simply building a model per app (i. e., training with review-response pairs of a single app) may be insufficient because individual apps have limited review-response pairs, and such pairs typically lack the relevant information needed to respond to a new review.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
