3 citations · 7 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
Understanding Medical Conversations: Rich Transcription, Confidence Scores & Information Extraction
Hagen Soltau, Mingqiu Wang, Izhak Shafran +1
In this paper, we describe novel components for extracting clinically relevant information from medical conversations which will be available as Google APIs. We describe a transfor…
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…
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…