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09/21/2023
Towards Answering Health-related Questions from Medical Videos: Datasets and Approaches
The increase in the availability of online videos has transformed the wa...
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05/07/2023
Empowering Language Model with Guided Knowledge Fusion for Biomedical Document Re-ranking
Pre-trained language models (PLMs) have proven to be effective for docum...
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10/21/2022
A Dataset for Plain Language Adaptation of Biomedical Abstracts
Though exponentially growing health-related literature has been made ava...
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10/05/2022
Medical Image Retrieval via Nearest Neighbor Search on Pre-trained Image Features
Nearest neighbor search (NNS) aims to locate the points in high-dimensio...
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09/28/2022
Clinical Language Understanding Evaluation (CLUE)
Clinical language processing has received a lot of attention in recent y...
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06/14/2022
CHQ-Summ: A Dataset for Consumer Healthcare Question Summarization
The quest for seeking health information has swamped the web with consum...
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01/30/2022
A Dataset for Medical Instructional Video Classification and Question Answering
This paper introduces a new challenge and datasets to foster research to...
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07/01/2021
Reinforcement Learning for Abstractive Question Summarization with Question-aware Semantic Rewards
The growth of online consumer health questions has led to the necessity ...
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06/01/2021
Question-aware Transformer Models for Consumer Health Question Summarization
Searching for health information online is becoming customary for more a...
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04/19/2021
Searching for Scientific Evidence in a Pandemic: An Overview of TREC-COVID
We present an overview of the TREC-COVID Challenge, an information retri...
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05/18/2020
Question-Driven Summarization of Answers to Consumer Health Questions
Automatic summarization of natural language is a widely studied area in ...
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05/09/2020
TREC-COVID: Constructing a Pandemic Information Retrieval Test Collection
TREC-COVID is a community evaluation designed to build a test collection...
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10/16/2019
Bridging the Knowledge Gap: Enhancing Question Answering with World and Domain Knowledge
In this paper we present OSCAR (Ontology-based Semantic Composition Augm...
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08/13/2019
Understanding Spatial Language in Radiology: Representation Framework, Annotation, and Spatial Relation Extraction from Chest X-ray Reports using Deep Learning
We define a representation framework for extracting spatial information ...
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01/23/2019
A Question-Entailment Approach to Question Answering
One of the challenges in large-scale information retrieval (IR) is to de...
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03/28/2016