activity
20192022
most citedLeveraging User Engagement Signals For Entity Labeling in a Virtual Assistant

11 citations · 20 across the 5 of their papers we have counts for

collaborators

5 papers

cs.SD2022

Improving Cross-lingual Speech Synthesis with Triplet Training Scheme

Jianhao Ye, Hongbin Zhou, Zhiba Su +4

Recent advances in cross-lingual text-to-speech (TTS) made it possible to synthesize speech in a language foreign to a monolingual speaker. However, there is still a large gap betw…

cs.CL2021★ 1 cited

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…

cs.CL2020★ 7 cited

Conversational Semantic Parsing for Dialog State Tracking

Jianpeng Cheng, Devang Agrawal, Hector Martinez Alonso +12

We consider a new perspective on dialog state tracking (DST), the task of estimating a user's goal through the course of a dialog. By formulating DST as a semantic parsing task ove…

cs.CL2019★ 1 cited

When is ACL's Deadline? A Scientific Conversational Agent

Mohsen Mesgar, Paul Youssef, Lin Li +4

Our conversational agent UKP-ATHENA assists NLP researchers in finding and exploring scientific literature, identifying relevant authors, planning or post-processing conference vis…

cs.LG2019★ 11 cited

Leveraging User Engagement Signals For Entity Labeling in a Virtual Assistant

Deepak Muralidharan, Justine Kao, Xiao Yang +8

Personal assistant AI systems such as Siri, Cortana, and Alexa have become widely used as a means to accomplish tasks through natural language commands. However, components in thes…