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09/08/2023
Retrieving Evidence from EHRs with LLMs: Possibilities and Challenges
Unstructured Electronic Health Record (EHR) data often contains critical...
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05/08/2023
Revisiting Relation Extraction in the era of Large Language Models
Relation extraction (RE) is the core NLP task of inferring semantic rela...
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05/05/2023
Jointly Extracting Interventions, Outcomes, and Findings from RCT Reports with LLMs
Results from Randomized Controlled Trials (RCTs) establish the comparati...
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10/12/2022
RedHOT: A Corpus of Annotated Medical Questions, Experiences, and Claims on Social Media
We present Reddit Health Online Talk (RedHOT), a corpus of 22,000 richly...
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04/13/2021
On the Impact of Random Seeds on the Fairness of Clinical Classifiers
Recent work has shown that fine-tuning large networks is surprisingly se...
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10/13/2020
Demographic Representation and Collective Storytelling in the Me Too Twitter Hashtag Activism Movement
The #MeToo movement on Twitter has drawn attention to the pervasive natu...
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04/30/2017
Quantifying Mental Health from Social Media with Neural User Embeddings
Mental illnesses adversely affect a significant proportion of the popula...
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12/31/2016
Expanding Subjective Lexicons for Social Media Mining with Embedding Subspaces
Recent approaches for sentiment lexicon induction have capitalized on pr...
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07/04/2016
Modelling Context with User Embeddings for Sarcasm Detection in Social Media
We introduce a deep neural network for automated sarcasm detection. Rece...
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08/09/2015
