In this paper, we introduce CheXOFA, a new pre-trained vision-language m...
Question answering (QA) models often rely on large-scale training datase...
Most weakly supervised named entity recognition (NER) models rely on
dom...
Named entity recognition (NER) is a task of extracting named entities of...
This paper is a technical report on our system submitted to the chemical...
One of the main challenges in conversational question answering (CQA) is...
Several machine learning-based spoiler detection models have been propos...
The number of biomedical literature on new biomedical concepts is rapidl...
Many extractive question answering models are trained to predict start a...
Although neural models have performed impressively well on various tasks...
In the human ear, the basilar membrane plays a central role in sound
rec...
Most companies utilize demographic information to develop their strategy...
Recently, open-domain question answering (QA) has been combined with mac...
We present a focal liver lesion detection model leveraged by custom-desi...
Graphs provide a powerful means for representing complex interactions be...