activity
20192022
most citedRNN Transducers for Nested Named Entity Recognition with constraints on alignment for long sequences

3 citations · 6 across the 5 of their papers we have counts for

collaborators

7 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.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…

cs.CL2020

The Medical Scribe: Corpus Development and Model Performance Analyses

Izhak Shafran, Nan Du, Linh Tran +11

There is a growing interest in creating tools to assist in clinical note generation using the audio of provider-patient encounters. Motivated by this goal and with the help of prov…