11 citations · 19 across the 7 of their papers we have counts for
8 papers
Intelligent Assistant Language Understanding On Device
Cecilia Aas, Hisham Abdelsalam, Irina Belousova +20
It has recently become feasible to run personal digital assistants on phones and other personal devices. In this paper we describe a design for a natural language understanding sys…
Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out
Zidi Xiu, Kai-Chen Cheng, David Q. Sun +7
With the growing popularity of intelligent assistants (IAs), evaluating IA quality becomes an increasingly active field of research. This paper identifies and quantifies the feedba…
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants
Deepak Muralidharan, Joel Ruben Antony Moniz, Weicheng Zhang +6
Named entity recognition (NER) is usually developed and tested on text from well-written sources. However, in intelligent voice assistants, where NER is an important component, inp…
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…