activity
20192023
most citedEfficient Adapters for Giant Speech Models

4 citations · 11 across the 7 of their papers we have counts for

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Showing cs.CLShow all

6 papers · 1 filter

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.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…

cs.CL20192 cited

Joint Speech Recognition and Speaker Diarization via Sequence Transduction

Laurent El Shafey, Hagen Soltau, Izhak Shafran

Speech applications dealing with conversations require not only recognizing the spoken words, but also determining who spoke when. The task of assigning words to speakers is typica…