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05/30/2023
Mining Themes in Clinical Notes to Identify Phenotypes and to Predict Length of Stay in Patients admitted with Heart Failure
Heart failure is a syndrome which occurs when the heart is not able to p...
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04/14/2022
Leveraging Natural Learning Processing to Uncover Themes in Clinical Notes of Patients Admitted for Heart Failure
Heart failure occurs when the heart is not able to pump blood and oxygen...
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04/02/2022
Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization
While there has been recent progress in abstractive summarization as app...
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03/30/2022
Entity-driven Fact-aware Abstractive Summarization of Biomedical Literature
As part of the large number of scientific articles being published every...
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04/09/2021
Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS
Suicide is the 10th leading cause of death in the U.S (1999-2019). Howev...
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03/24/2021
The Inescapable Duality of Data and Knowledge
We will discuss how over the last 30 to 50 years, systems that focused o...
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11/20/2020
COVID-19 and Mental Health/Substance Use Disorders on Reddit: A Longitudinal Study
COVID-19 pandemic has adversely and disproportionately impacted people s...
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11/19/2020
Predicting Early Indicators of Cognitive Decline from Verbal Utterances
Dementia is a group of irreversible, chronic, and progressive neurodegen...
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11/12/2020
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework
Existing studies on using social media for deriving mental health status...
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11/03/2020
Topic-Centric Unsupervised Multi-Document Summarization of Scientific and News Articles
Recent advances in natural language processing have enabled automation o...
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09/21/2020
"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware Attention Framework for Relationship Extraction
With the increasing legalization of medical and recreational use of cann...
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08/14/2020
ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter
The convenience of social media has also enabled its misuse, potentially...
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08/05/2020
Measuring Pain in Sickle Cell Disease using Clinical Text
Sickle Cell Disease (SCD) is a hereditary disorder of red blood cells in...
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07/30/2020
Depressive, Drug Abusive, or Informative: Knowledge-aware Study of News Exposure during COVID-19 Outbreak
The COVID-19 pandemic is having a serious adverse impact on the lives of...
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06/12/2019
Towards Geocoding Spatial Expressions
Imprecise composite location references formed using ad hoc spatial expr...
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02/19/2019
Fusing Visual, Textual and Connectivity Clues for Studying Mental Health
With ubiquity of social media platforms, millions of people are sharing ...
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11/25/2018
Determination of Personalized Asthma Triggers from Evidence based on Multimodal Sensing and Mobile Application
Objective: Asthma is a chronic pulmonary disease with multiple triggers ...
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11/01/2018
Analyzing and learning the language for different types of harassment
The presence of a significant amount of harassment in user-generated con...
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08/06/2018
Principles for Developing a Knowledge Graph of Interlinked Events from News Headlines on Twitter
The ever-growing datasets published on Linked Open Data mainly contain e...
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06/26/2018
A Practical Incremental Learning Framework For Sparse Entity Extraction
This work addresses challenges arising from extracting entities from tex...
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02/26/2018
Publishing a Quality Context-aware Annotated Corpus and Lexicon for Harassment Research
Having a quality annotated corpus is essential especially for applied re...
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10/16/2017
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media
With the rise of social media, millions of people are routinely expressi...
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08/10/2017
Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models
Extracting location names from informal and unstructured texts requires ...
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07/26/2017
Implicit Entity Linking in Tweets
Over the years, Twitter has become one of the largest communication plat...
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07/14/2017
Knowledge will Propel Machine Understanding of Content: Extrapolating from Current Examples
Machine Learning has been a big success story during the AI resurgence. ...
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01/19/2017
CEVO: Comprehensive EVent Ontology Enhancing Cognitive Annotation
While the general analysis of named entities has received substantial re...
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09/15/2015
