2 citations · 3 across the 2 of their papers we have counts for
5 papers · 1 filter
Dense Paraphrasing for Textual Enrichment
Jingxuan Tu, Kyeongmin Rim, Eben Holderness +1
Understanding inferences and answering questions from text requires more than merely recovering surface arguments, adjuncts, or strings associated with the query terms. As humans,…
Designing Multimodal Datasets for NLP Challenges
James Pustejovsky, Eben Holderness, Jingxuan Tu +4
In this paper, we argue that the design and development of multimodal datasets for natural language processing (NLP) challenges should be enhanced in two significant respects: to m…
Assessing the Efficacy of Clinical Sentiment Analysis and Topic Extraction in Psychiatric Readmission Risk Prediction
Elena Alvarez-Mellado, Eben Holderness, Nicholas Miller +5
Predicting which patients are more likely to be readmitted to a hospital within 30 days after discharge is a valuable piece of information in clinical decision-making. Building a s…
Distinguishing Clinical Sentiment: The Importance of Domain Adaptation in Psychiatric Patient Health Records
Eben Holderness, Philip Cawkwell, Kirsten Bolton +2
Recently natural language processing (NLP) tools have been developed to identify and extract salient risk indicators in electronic health records (EHRs). Sentiment analysis, althou…
Analysis of Risk Factor Domains in Psychosis Patient Health Records
Eben Holderness, Nicholas Miller, Philip Cawkwell +4
Readmission after discharge from a hospital is disruptive and costly, regardless of the reason. However, it can be particularly problematic for psychiatric patients, so predicting…