21 citations · 45 across the 6 of their papers we have counts for
8 papers · 1 filter
Generating medically-accurate summaries of patient-provider dialogue: A multi-stage approach using large language models
Varun Nair, Elliot Schumacher, Anitha Kannan
A medical provider's summary of a patient visit serves several critical purposes, including clinical decision-making, facilitating hand-offs between providers, and as a reference f…
CONSCENDI: A Contrastive and Scenario-Guided Distillation Approach to Guardrail Models for Virtual Assistants
Albert Yu Sun, Varun Nair, Elliot Schumacher +1
A wave of new task-based virtual assistants has been fueled by increasingly powerful large language models (LLMs), such as GPT-4 (OpenAI, 2023). A major challenge in deploying LLM-…
DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents
Varun Nair, Elliot Schumacher, Geoffrey Tso +1
Large language models (LLMs) have emerged as valuable tools for many natural language understanding tasks. In safety-critical applications such as healthcare, the utility of these…
Improving Zero-Shot Multi-Lingual Entity Linking
Elliot Schumacher, James Mayfield, Mark Dredze
Entity linking -- the task of identifying references in free text to relevant knowledge base representations -- often focuses on single languages. We consider multilingual entity l…
Cross-Lingual Transfer in Zero-Shot Cross-Language Entity Linking
Elliot Schumacher, James Mayfield, Mark Dredze
Cross-language entity linking grounds mentions in multiple languages to a single-language knowledge base. We propose a neural ranking architecture for this task that uses multiling…
Phenotyping of Clinical Notes with Improved Document Classification Models Using Contextualized Neural Language Models
Andriy Mulyar, Elliot Schumacher, Masoud Rouhizadeh +1
Clinical notes contain an extensive record of a patient's health status, such as smoking status or the presence of heart conditions. However, this detail is not replicated within t…
Predicting the Relative Difficulty of Single Sentences With and Without Surrounding Context
Elliot Schumacher, Maxine Eskenazi, Gwen Frishkoff +1
The problem of accurately predicting relative reading difficulty across a set of sentences arises in a number of important natural language applications, such as finding and curati…
A Readability Analysis of Campaign Speeches from the 2016 US Presidential Campaign
Elliot Schumacher, Maxine Eskenazi
Readability is defined as the reading level of the speech from grade 1 to grade 12. It results from the use of the REAP readability analysis (vocabulary - Collins-Thompson and Call…