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Knowledge-intensive Language Understanding for Explainable AI

Knowledge-intensive Language Understanding for Explainable AI

2 August 2021
A. Sheth
Manas Gaur
Kaushik Roy
Keyur Faldu
ArXivPDFHTML

Papers citing "Knowledge-intensive Language Understanding for Explainable AI"

23 / 23 papers shown
Title
A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis:
  Evaluating Mental Health Sentiment on Social Media during COVID-19
A Domain-Agnostic Neurosymbolic Approach for Big Social Data Analysis: Evaluating Mental Health Sentiment on Social Media during COVID-19
Vedant Khandelwal
Manas Gaur
Ugur Kursuncu
V. Shalin
Amit Sheth
27
1
0
11 Nov 2024
IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards
  for Better Well-Being
IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being
A. Gyrard
Seyedali Mohammadi
Manas Gaur
Antonio Kung
AI4MH
31
1
0
19 Jun 2024
Explainable Interface for Human-Autonomy Teaming: A Survey
Explainable Interface for Human-Autonomy Teaming: A Survey
Xiangqi Kong
Yang Xing
Antonios Tsourdos
Ziyue Wang
Weisi Guo
Adolfo Perrusquía
Andreas Wikander
24
3
0
04 May 2024
Reliability Analysis of Psychological Concept Extraction and
  Classification in User-penned Text
Reliability Analysis of Psychological Concept Extraction and Classification in User-penned Text
Muskan Garg
Msvpj Sathvik
Amrit Chadha
Shaina Raza
Sunghwan Sohn
AI4MH
19
1
0
12 Jan 2024
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language
  Understanding
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding
Yuxin Zi
Hariram Veeramani
Kaushik Roy
Amit P. Sheth
AI4TS
15
2
0
15 Dec 2023
Neurosymbolic Value-Inspired AI (Why, What, and How)
Neurosymbolic Value-Inspired AI (Why, What, and How)
Amit P. Sheth
Kaushik Roy
17
4
0
15 Dec 2023
Building Trustworthy NeuroSymbolic AI Systems: Consistency, Reliability,
  Explainability, and Safety
Building Trustworthy NeuroSymbolic AI Systems: Consistency, Reliability, Explainability, and Safety
Manas Gaur
Amit P. Sheth
13
16
0
05 Dec 2023
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational
  Language Models
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models
Aidin Shiri
Kaushik Roy
Amit P. Sheth
Manas Gaur
KELM
17
4
0
11 Nov 2023
IERL: Interpretable Ensemble Representation Learning -- Combining
  CrowdSourced Knowledge and Distributed Semantic Representations
IERL: Interpretable Ensemble Representation Learning -- Combining CrowdSourced Knowledge and Distributed Semantic Representations
Yuxin Zi
Kaushik Roy
Vignesh Narayanan
Manas Gaur
Amit P. Sheth
17
8
0
24 Jun 2023
Knowledge-Infused Self Attention Transformers
Knowledge-Infused Self Attention Transformers
Kaushik Roy
Yuxin Zi
Vignesh Narayanan
Manas Gaur
Amit P. Sheth
KELM
11
7
0
23 Jun 2023
Process Knowledge-infused Learning for Clinician-friendly Explanations
Process Knowledge-infused Learning for Clinician-friendly Explanations
Kaushik Roy
Yuxin Zi
Manas Gaur
Jinendra Malekar
Qi Zhang
Vignesh Narayanan
Amit P. Sheth
AI4MH
14
14
0
16 Jun 2023
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes
R. Venkataramanan
Kaushik Roy
Kanak Raj
Renjith Prasad
Yuxin Zi
Vignesh Narayanan
Amit P. Sheth
14
17
0
01 Jun 2023
ProKnow: Process Knowledge for Safety Constrained and Explainable
  Question Generation for Mental Health Diagnostic Assistance
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance
Kaushik Roy
Manas Gaur
Misagh Soltani
Vipula Rawte
A. Kalyan
Amit P. Sheth
AI4MH
20
27
0
13 May 2023
Knowledge Graph Guided Semantic Evaluation of Language Models For User
  Trust
Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust
Kaushik Roy
Tarun Garg
Vedant Palit
Yuxin Zi
Vignesh Narayanan
Amit P. Sheth
14
7
0
08 May 2023
AttentionMixer: An Accurate and Interpretable Framework for Process
  Monitoring
AttentionMixer: An Accurate and Interpretable Framework for Process Monitoring
Hao Wang
Zhiyu Wang
Yunlong Niu
Zhaoran Liu
Haozhe Li
Yilin Liao
Yuxin Huang
Xinggao Liu
11
0
0
21 Feb 2023
Knowing About Knowing: An Illusion of Human Competence Can Hinder
  Appropriate Reliance on AI Systems
Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems
Gaole He
L. Kuiper
U. Gadiraju
11
55
0
25 Jan 2023
Privacy Explanations - A Means to End-User Trust
Privacy Explanations - A Means to End-User Trust
Wasja Brunotte
Alexander Specht
Larissa Chazette
K. Schneider
8
24
0
18 Oct 2022
KSAT: Knowledge-infused Self Attention Transformer -- Integrating
  Multiple Domain-Specific Contexts
KSAT: Knowledge-infused Self Attention Transformer -- Integrating Multiple Domain-Specific Contexts
Kaushik Roy
Yuxin Zi
Vignesh Narayanan
Manas Gaur
Amit P. Sheth
AI4MH
14
12
0
09 Oct 2022
Can Language Models Capture Graph Semantics? From Graphs to Language
  Model and Vice-Versa
Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa
Tarun Garg
Kaushik Roy
A. Sheth
GNN
14
5
0
18 Jun 2022
Process Knowledge-Infused AI: Towards User-level Explainability,
  Interpretability, and Safety
Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety
Amit P. Sheth
Manas Gaur
Kaushik Roy
Revathy Venkataraman
Vedant Khandelwal
15
39
0
09 Jun 2022
ISEEQ: Information Seeking Question Generation using Dynamic
  Meta-Information Retrieval and Knowledge Graphs
ISEEQ: Information Seeking Question Generation using Dynamic Meta-Information Retrieval and Knowledge Graphs
Manas Gaur
Kalpa Gunaratna
Vijay Srinivasan
Hongxia Jin
RALM
14
51
0
13 Dec 2021
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and
  Opportunities for Solving Math Word Problems
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems
Keyur Faldu
A. Sheth
Prashant Kikani
Manas Gaur
Aditi Avasthi
LRM
19
16
0
29 Oct 2021
Semantics of the Black-Box: Can knowledge graphs help make deep learning
  systems more interpretable and explainable?
Semantics of the Black-Box: Can knowledge graphs help make deep learning systems more interpretable and explainable?
Manas Gaur
Keyur Faldu
A. Sheth
29
110
0
16 Oct 2020
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