Inder Khatri — accepted AI-conference papers

2023

An Emotion-Guided Approach to Domain Adaptive Fake News Detection Using Adversarial Learning (Student Abstract)

Arkajyoti Chakraborty, Inder Khatri, Arjun Choudhry, Pankaj Gupta, Dinesh Kumar Vishwakarma, Mukesh Prasad

AAAI 2023technical

Recent works on fake news detection have shown the efficacy of using emotions as a feature for improved performance. However, the cross-domain impact of emotion-guided features for fake news detection still remains an open problem. In this work, we propose an emotion-guided, domain-adaptive, multi-t…

Cited by 5 Source ↗PDF ↗Scholar ↗

2023

CKS: A Community-Based K-shell Decomposition Approach Using Community Bridge Nodes for Influence Maximization (Student Abstract)

Inder Khatri, Aaryan Gupta, Arjun Choudhry, Aryan Tyagi, Dinesh Kumar Vishwakarma, Mukesh Prasad

AAAI 2023technical

Social networks have enabled user-specific advertisements and recommendations on their platforms, which puts a significant focus on Influence Maximisation (IM) for target advertising and related tasks. The aim is to identify nodes in the network which can maximize the spread of information through a…

Cited by 4 Source ↗PDF ↗Scholar ↗

2023

Transformer-Based Named Entity Recognition for French Using Adversarial Adaptation to Similar Domain Corpora (Student Abstract)

Arjun Choudhry, Pankaj Gupta, Inder Khatri, Aaryan Gupta, Maxime Nicol, Marie-Jean Meurs +1

AAAI 2023technical

Named Entity Recognition (NER) involves the identification and classification of named entities in unstructured text into predefined classes. NER in languages with limited resources, like French, is still an open problem due to the lack of large, robust, labelled datasets. In this paper, we propose…

Cited by 6 Source ↗PDF ↗Scholar ↗