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09/20/2023
A Comprehensive Survey on Rare Event Prediction
Rare event prediction involves identifying and forecasting events with a...
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09/20/2023
Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness
As Large Language Models (LLMs) have advanced, they have brought forth n...
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09/12/2023
A Survey of Hallucination in Large Foundation Models
Hallucination in a foundation model (FM) refers to the generation of con...
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09/11/2023
Hi Model, generating 'nice' instead of 'good' is not as bad as generating 'rice'! Towards Context and Semantic Infused Dialogue Generation Loss Function and Evaluation Metric
Over the past two decades, dialogue modeling has made significant stride...
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08/28/2023
RESTORE: Graph Embedding Assessment Through Reconstruction
Following the success of Word2Vec embeddings, graph embeddings (GEs) hav...
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08/02/2023
Why Do We Need Neuro-symbolic AI to Model Pragmatic Analogies?
A hallmark of intelligence is the ability to use a familiar domain to ma...
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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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06/01/2023
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes
As people become more aware of their food choices, food computation mode...
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05/22/2023
FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering
Combating disinformation is one of the burning societal crises – about 6...
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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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05/12/2023
IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of Images
Word embeddings, i.e., semantically meaningful vector representation of ...
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05/08/2023
ANALOGICAL - A New Benchmark for Analogy of Long Text for Large Language Models
Over the past decade, analogies, in the form of word-level analogies, ha...
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05/08/2023
Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust
A fundamental question in natural language processing is - what kind of ...
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05/07/2023
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering
Automatic fact verification has received significant attention recently....
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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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04/20/2023
"Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb
Opioid and substance misuse is rampant in the United States today, with ...
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03/31/2023
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case
After the pandemic, artificial intelligence (AI) powered support for men...
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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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06/18/2022
Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa
Knowledge Graphs are a great resource to capture semantic knowledge in t...
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06/02/2022
MMTM: Multi-Tasking Multi-Decoder Transformer for Math Word Problems
Recently, quite a few novel neural architectures were derived to solve m...
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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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03/30/2022
Knowledge-based Entity Prediction for Improved Machine Perception in Autonomous Systems
Knowledge-based entity prediction (KEP) is a novel task that aims to imp...
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01/06/2022
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning
Humans use causality and hypothetical retrospection in their daily decis...
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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
KI-BERT: Infusing Knowledge Context for Better Language and Domain Understanding
Contextualized entity representations learned by state-of-the-art deep l...
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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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03/29/2021
eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket
Opioid and substance misuse is rampant in the United States today, with ...
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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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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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02/01/2021
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision
With strong marketing advocacy of the benefits of cannabis use for impro...
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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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11/10/2020
Medical Knowledge-enriched Textual Entailment Framework
One of the cardinal tasks in achieving robust medical question answering...
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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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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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08/13/2020
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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05/10/2020
Knowledge Graph semantic enhancement of input data for improving AI
Intelligent systems designed using machine learning algorithms require a...
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03/07/2020
Knowledge Graphs and Knowledge Networks: The Story in Brief
Knowledge Graphs (KGs) represent real-world noisy raw information in a s...
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02/29/2020
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice
The autonomous driving (AD) industry is exploring the use of knowledge g...
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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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03/13/2019
Multimodal Emotion Classification
Most NLP and Computer Vision tasks are limited to scarcity of labelled d...
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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