research
∙
03/17/2023
Feedback Effect in User Interaction with Intelligent Assistants: Delayed Engagement, Adaption and Drop-out
With the growing popularity of intelligent assistants (IAs), evaluating ...
share
research
∙
09/27/2021
Using Pause Information for More Accurate Entity Recognition
Entity tags in human-machine dialog are integral to natural language und...
research
∙
08/15/2021
DEXTER: Deep Encoding of External Knowledge for Named Entity Recognition in Virtual Assistants
Named entity recognition (NER) is usually developed and tested on text f...
research
∙
10/10/2020
Open-Domain Question Answering Goes Conversational via Question Rewriting
We introduce a new dataset for Question Rewriting in Conversational Cont...
research
∙
05/04/2020
Generalized Reinforcement Meta Learning for Few-Shot Optimization
We present a generic and flexible Reinforcement Learning (RL) based meta...
research
∙
01/25/2020
Lattice-based Improvements for Voice Triggering Using Graph Neural Networks
Voice-triggered smart assistants often rely on detection of a trigger-ph...
research
∙
09/18/2019
Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant
Personal assistant AI systems such as Siri, Cortana, and Alexa have beco...
research
∙
08/29/2019
Active Learning for Domain Classification in a Commercial Spoken Personal Assistant
We describe a method for selecting relevant new training data for the LS...
research
∙
12/04/2014
Deep Learning for Answer Sentence Selection
Answer sentence selection is the task of identifying sentences that cont...
research
∙
01/23/2014
Reasoning about Meaning in Natural Language with Compact Closed Categories and Frobenius Algebras
Compact closed categories have found applications in modeling quantum in...
research
∙
12/31/2010