activity
20192022
most citedDescription-Driven Task-Oriented Dialog Modeling

33 citations · 38 across the 6 of their papers we have counts for

collaborators

9 papers

cs.CL2022

Knowledge-grounded Dialog State Tracking

Dian Yu, Mingqiu Wang, Yuan Cao +3

Knowledge (including structured knowledge such as schema and ontology, and unstructured knowledge such as web corpus) is a critical part of dialog understanding, especially for uns…

cs.CL20221 cited

Unsupervised Slot Schema Induction for Task-oriented Dialog

Dian Yu, Mingqiu Wang, Yuan Cao +3

Carefully-designed schemas describing how to collect and annotate dialog corpora are a prerequisite towards building task-oriented dialog systems. In practical applications, manual…

cs.CL20223 cited

RNN Transducers for Nested Named Entity Recognition with constraints on alignment for long sequences

Hagen Soltau, Izhak Shafran, Mingqiu Wang +1

Popular solutions to Named Entity Recognition (NER) include conditional random fields, sequence-to-sequence models, or utilizing the question-answering framework. However, they are…

cs.CL202233 cited

Description-Driven Task-Oriented Dialog Modeling

Jeffrey Zhao, Raghav Gupta, Yuan Cao +6

Task-oriented dialogue (TOD) systems are required to identify key information from conversations for the completion of given tasks. Such information is conventionally specified in…

cs.CL2021

Word-level confidence estimation for RNN transducers

Mingqiu Wang, Hagen Soltau, Laurent El Shafey +1

Confidence estimate is an often requested feature in applications such as medical transcription where errors can impact patient care and the confidence estimate could be used to al…

cs.CL2021

R2D2: Relational Text Decoding with Transformers

Aryan Arbabi, Mingqiu Wang, Laurent El Shafey +2

We propose a novel framework for modeling the interaction between graphical structures and the natural language text associated with their nodes and edges. Existing approaches typi…