596 citations · 1.3k across the 31 of their papers we have counts for
5 papers · 1 filter
Learning to Infer Entities, Properties and their Relations from Clinical Conversations
Nan Du, Mingqiu Wang, Linh Tran +2
Recently we proposed the Span Attribute Tagging (SAT) Model (Du et al., 2019) to infer clinical entities (e.g., symptoms) and their properties (e.g., duration). It tackles the chal…
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…
Complex Evolution Recurrent Neural Networks (ceRNNs)
Izhak Shafran, Tom Bagby, R. J. Skerry-Ryan
Unitary Evolution Recurrent Neural Networks (uRNNs) have three attractive properties: (a) the unitary property, (b) the complex-valued nature, and (c) their efficient linear operat…
Extracting Symptoms and their Status from Clinical Conversations
Nan Du, Kai Chen, Anjuli Kannan +3
This paper describes novel models tailored for a new application, that of extracting the symptoms mentioned in clinical conversations along with their status. Lack of any publicly…
Audio De-identification: A New Entity Recognition Task
Ido Cohn, Itay Laish, Genady Beryozkin +6
Named Entity Recognition (NER) has been mostly studied in the context of written text. Specifically, NER is an important step in de-identification (de-ID) of medical records, many…