211 citations · 289 across the 15 of their papers we have counts for
11 papers · 1 filter
Towards Answering Health-related Questions from Medical Videos: Datasets and Approaches
Deepak Gupta, Kush Attal, Dina Demner-Fushman
The increase in the availability of online videos has transformed the way we access information and knowledge. A growing number of individuals now prefer instructional videos as th…
Empowering Language Model with Guided Knowledge Fusion for Biomedical Document Re-ranking
Deepak Gupta, Dina Demner-Fushman
Pre-trained language models (PLMs) have proven to be effective for document re-ranking task. However, they lack the ability to fully interpret the semantics of biomedical and healt…
A Dataset for Plain Language Adaptation of Biomedical Abstracts
Kush Attal, Brian Ondov, Dina Demner-Fushman
Though exponentially growing health-related literature has been made available to a broad audience online, the language of scientific articles can be difficult for the general publ…
Clinical Language Understanding Evaluation (CLUE)
Travis R. Goodwin, Dina Demner-Fushman
Clinical language processing has received a lot of attention in recent years, resulting in new models or methods for disease phenotyping, mortality prediction, and other tasks. Unf…
CHQ-Summ: A Dataset for Consumer Healthcare Question Summarization
Shweta Yadav, Deepak Gupta, Dina Demner-Fushman
The quest for seeking health information has swamped the web with consumers' health-related questions. Generally, consumers use overly descriptive and peripheral information to exp…
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards
Shweta Yadav, Deepak Gupta, Asma Ben Abacha +1
The growth of online consumer health questions has led to the necessity for reliable and accurate question answering systems. A recent study showed that manual summarization of con…
Question-aware Transformer Models for Consumer Health Question Summarization
Shweta Yadav, Deepak Gupta, Asma Ben Abacha +1
Searching for health information online is becoming customary for more and more consumers every day, which makes the need for efficient and reliable question answering systems more…
Question-Driven Summarization of Answers to Consumer Health Questions
Max Savery, Asma Ben Abacha, Soumya Gayen +1
Automatic summarization of natural language is a widely studied area in computer science, one that is broadly applicable to anyone who routinely needs to understand large quantitie…
Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge
Travis R. Goodwin, Dina Demner-Fushman
In this paper we present OSCAR (Ontology-based Semantic Composition Augmented Regularization), a method for injecting task-agnostic knowledge from an Ontology or knowledge graph in…
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning
Surabhi Datta, Yuqi Si, Laritza Rodriguez +3
We define a representation framework for extracting spatial information from radiology reports (Rad-SpRL). We annotated a total of 2000 chest X-ray reports with 4 spatial roles cor…
A Question-Entailment Approach to Question Answering
Asma Ben Abacha, Dina Demner-Fushman
One of the challenges in large-scale information retrieval (IR) is to develop fine-grained and domain-specific methods to answer natural language questions. Despite the availabilit…