research
∙
05/23/2023
Making the Implicit Explicit: Implicit Content as a First Class Citizen in NLP
Language is multifaceted. A given utterance can be re-expressed in equiv...
share
research
∙
11/15/2022
Using Open-Ended Stressor Responses to Predict Depressive Symptoms across Demographics
Stressors are related to depression, but this relationship is complex. W...
research
∙
10/28/2022
Are Neural Topic Models Broken?
Recently, the relationship between automated and human evaluation of top...
research
∙
07/05/2021
Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence
Topic model evaluation, like evaluation of other unsupervised methods, c...
research
∙
04/27/2021
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes
The records of a clinical encounter can be extensive and complex, thus p...
research
∙
10/05/2020
Improving Neural Topic Models using Knowledge Distillation
Topic models are often used to identify human-interpretable topics to he...
research
∙
11/15/2019
Assigning Medical Codes at the Encounter Level by Paying Attention to Documents
The vast majority of research in computer assisted medical coding focuse...
research
∙
09/11/2018
Assessing Composition in Sentence Vector Representations
An important component of achieving language understanding is mastering ...
research
∙
10/26/2015
