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08/25/2023
Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models
The Natural Language Processing(NLP) community has been using crowd sour...
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08/23/2023
Simple is Better and Large is Not Enough: Towards Ensembling of Foundational Language Models
Foundational Language Models (FLMs) have advanced natural language proce...
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07/25/2023
Knowledge-enhanced Neuro-Symbolic AI for Cybersecurity and Privacy
Neuro-Symbolic Artificial Intelligence (AI) is an emerging and quickly a...
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06/24/2023
IERL: Interpretable Ensemble Representation Learning – Combining CrowdSourced Knowledge and Distributed Semantic Representations
Large Language Models (LLMs) encode meanings of words in the form of dis...
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06/23/2023
Knowledge-Infused Self Attention Transformers
Transformer-based language models have achieved impressive success in va...
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06/16/2023
Process Knowledge-infused Learning for Clinician-friendly Explanations
Language models have the potential to assess mental health using social ...
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06/08/2023
LOST: A Mental Health Dataset of Low Self-esteem in Reddit Posts
Low self-esteem and interpersonal needs (i.e., thwarted belongingness (T...
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05/13/2023
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance
Current Virtual Mental Health Assistants (VMHAs) provide counseling and ...
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05/01/2023
Neurosymbolic AI - Why, What, and How
Humans interact with the environment using a combination of perception -...
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04/25/2023
Towards Explainable and Safe Conversational Agents for Mental Health: A Survey
Virtual Mental Health Assistants (VMHAs) are seeing continual advancemen...
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10/09/2022
KSAT: Knowledge-infused Self Attention Transformer – Integrating Multiple Domain-Specific Contexts
Domain-specific language understanding requires integrating multiple pie...
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05/27/2022
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts
Conversational Agents (CAs) powered with deep language models (DLMs) hav...
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04/26/2022
Process Knowledge-infused Learning for Suicidality Assessment on Social Media
Improving the performance and natural language explanations of deep lear...
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12/13/2021
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs
Conversational Information Seeking (CIS) is a relatively new research ar...
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10/29/2021
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems
Mathematical reasoning would be one of the next frontiers for artificial...
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08/02/2021
Knowledge-intensive Language Understanding for Explainable AI
AI systems have seen significant adoption in various domains. At the sam...
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06/25/2021
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits
Contextual Bandits find important use cases in various real-life scenari...
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05/12/2021
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit
During the ongoing COVID-19 crisis, subreddits on Reddit, such as r/Coro...
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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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02/11/2021
Knowledge Infused Policy Gradients for Adaptive Pandemic Control
COVID-19 has impacted nations differently based on their policy implemen...
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10/16/2020
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?
The recent series of innovations in deep learning (DL) have shown enormo...
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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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08/13/2020
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Infection of COVID-19 in India
Epidemiological models are the mathematical models that capture the dyna...
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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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12/01/2019
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning
Learning the underlying patterns in the data goes beyond instance-based ...
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08/18/2019
Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate
Terror attacks have been linked in part to online extremist content. Alt...
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08/09/2018
