11 citations · 19 across the 7 of their papers we have counts for
4 papers · 1 filter
Improving Human-Labeled Data through Dynamic Automatic Conflict Resolution
David Q. Sun, Hadas Kotek, Christopher Klein +3
This paper develops and implements a scalable methodology for (a) estimating the noisiness of labels produced by a typical crowdsourcing semantic annotation task, and (b) reducing…
Generating Natural Questions from Images for Multimodal Assistants
Alkesh Patel, Akanksha Bindal, Hadas Kotek +2
Generating natural, diverse, and meaningful questions from images is an essential task for multimodal assistants as it confirms whether they have understood the object and scene in…
Noise Robust Named Entity Understanding for Voice Assistants
Deepak Muralidharan, Joel Ruben Antony Moniz, Sida Gao +21
Named Entity Recognition (NER) and Entity Linking (EL) play an essential role in voice assistant interaction, but are challenging due to the special difficulties associated with sp…
Lattice-based Improvements for Voice Triggering Using Graph Neural Networks
Pranay Dighe, Saurabh Adya, Nuoyu Li +6
Voice-triggered smart assistants often rely on detection of a trigger-phrase before they start listening for the user request. Mitigation of false triggers is an important aspect o…