27 citations · 64 across the 11 of their papers we have counts for
12 papers · 1 filter
Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan +1
While there has been recent progress in abstractive summarization as applied to different domains including news articles, scientific articles, and blog posts, the application of t…
Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature
Amanuel Alambo, Tanvi Banerjee, Krishnaprasad Thirunarayan +1
As part of the large number of scientific articles being published every year, the publication rate of biomedical literature has been increasing. Consequently, there has been consi…
Predicting Early Indicators of Cognitive Decline from Verbal Utterances
Swati Padhee, Anurag Illendula, Megan Sadler +4
Dementia is a group of irreversible, chronic, and progressive neurodegenerative disorders resulting in impaired memory, communication, and thought processes. In recent years, clini…
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework
Shweta Yadav, Jainish Chauhan, Joy Prakash Sain +3
Existing studies on using social media for deriving mental health status of users focus on the depression detection task. However, for case management and referral to psychiatrists…
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles
Amanuel Alambo, Cori Lohstroh, Erik Madaus +5
Recent advances in natural language processing have enabled automation of a wide range of tasks, including machine translation, named entity recognition, and sentiment analysis. Au…
Towards Geocoding Spatial Expressions
Hussein S. Al-Olimat, Valerie L. Shalin, Krishnaprasad Thirunarayan +1
Imprecise composite location references formed using ad hoc spatial expressions in English text makes the geocoding task challenging for both inference and evaluation. Typically su…