10 citations · 14 across the 6 of their papers we have counts for
6 papers
PEaCE: A Chemistry-Oriented Dataset for Optical Character Recognition on Scientific Documents
Nan Zhang, Connor Heaton, Sean Timothy Okonsky +2
Optical Character Recognition (OCR) is an established task with the objective of identifying the text present in an image. While many off-the-shelf OCR models exist, they are often…
Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings
Saptarshi Sengupta, Connor Heaton, Suhan Cui +2
In Natural Language Processing (NLP), Machine Reading Comprehension (MRC) is the task of answering a question based on a given context. To handle questions in the medical domain, m…
TOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering
Saptarshi Sengupta, Connor Heaton, Shreya Ghosh +3
We study extractive question-answering in the medical domain (Medical-EQA). This problem has two main challenges: (i) domain specificity, as most AI models lack necessary domain kn…
Learning To Describe Player Form in The MLB
Connor Heaton, Prasenjit Mitra
Major League Baseball (MLB) has a storied history of using statistics to better understand and discuss the game of baseball, with an entire discipline of statistics dedicated to th…
Language Models as Emotional Classifiers for Textual Conversations
Connor T. Heaton, David M. Schwartz
Emotions play a critical role in our everyday lives by altering how we perceive, process and respond to our environment. Affective computing aims to instill in computers the abilit…
Repurposing TREC-COVID Annotations to Answer the Key Questions of CORD-19
Connor T. Heaton, Prasenjit Mitra
The novel coronavirus disease 2019 (COVID-19) began in Wuhan, China in late 2019 and to date has infected over 14M people worldwide, resulting in over 750,000 deaths. On March 10,…