97 citations · 397 across the 32 of their papers we have counts for
16 papers · 1 filter
Flying Pigs, FaR and Beyond: Evaluating LLM Reasoning in Counterfactual Worlds
Anish R Joishy, Ishwar B Balappanawar, Vamshi Krishna Bonagiri +3
A fundamental challenge in reasoning is navigating hypothetical, counterfactual worlds where logic may conflict with ingrained knowledge. We investigate this frontier for Large Lan…
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…
"When they say weed causes depression, but it's your fav antidepressant": Knowledge-aware Attention Framework for Relationship Extraction
Shweta Yadav, Usha Lokala, Raminta Daniulaityte +3
With the increasing legalization of medical and recreational use of cannabis, more research is needed to understand the association between depression and consumer behavior related…
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…
Analyzing and learning the language for different types of harassment
Mohammadreza Rezvan, Saeedeh Shekarpour, Faisal Alshargi +3
Disclaimer: This paper is concerned with violent online harassment. To describe the subject at an adequate level of realism, examples of our collected tweets involve violent, threa…
Principles for Developing a Knowledge Graph of Interlinked Events from News Headlines on Twitter
Saeedeh Shekarpour, Ankita Saxena, Krishnaprasad Thirunarayan +2
The ever-growing datasets published on Linked Open Data mainly contain encyclopedic information. However, there is a lack of quality structured and semantically annotated datasets…
A Practical Incremental Learning Framework For Sparse Entity Extraction
Hussein S. Al-Olimat, Steven Gustafson, Jason Mackay +2
This work addresses challenges arising from extracting entities from textual data, including the high cost of data annotation, model accuracy, selecting appropriate evaluation crit…
A Quality Type-aware Annotated Corpus and Lexicon for Harassment Research
Mohammadreza Rezvan, Saeedeh Shekarpour, Lakshika Balasuriya +3
Having a quality annotated corpus is essential especially for applied research. Despite the recent focus of Web science community on researching about cyberbullying, the community…
Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media
Amir Hossein Yazdavar, Hussein S. Al-Olimat, Monireh Ebrahimi +5
With the rise of social media, millions of people are routinely expressing their moods, feelings, and daily struggles with mental health issues on social media platforms like Twitt…
Location Name Extraction from Targeted Text Streams using Gazetteer-based Statistical Language Models
Hussein S. Al-Olimat, Krishnaprasad Thirunarayan, Valerie Shalin +1
Extracting location names from informal and unstructured social media data requires the identification of referent boundaries and partitioning compound names. Variability, particul…
Implicit Entity Linking in Tweets
Sujan Perera, Pablo N. Mendes, Adarsh Alex +2
Over the years, Twitter has become one of the largest communication platforms providing key data to various applications such as brand monitoring, trend detection, among others. En…
CEVO: Comprehensive EVent Ontology Enhancing Cognitive Annotation
Saeedeh Shekarpour, Faisal Alshargi, Valerie Shalin +2
While the general analysis of named entities has received substantial research attention on unstructured as well as structured data, the analysis of relations among named entities…