Aditya Joshi

According to our database, Aditya Joshi authored at least 30 papers between 2014 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Natural Language Processing for Dialects of a Language: A Survey.

Aditya Joshi, Raj Dabre, Diptesh Kanojia, Zhuang Li, Haolan Zhan, Gholamreza Haffari, Doris Dippold

ACM Comput. Surv., June, 2025

RACCOON: A Retrieval-Augmented Generation Approach for Location Coordinate Capture from News Articles.

Jonathan Lin, Aditya Joshi, Hye-young Paik, Tri Dung Doung, Deepti Gurdasani

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024

Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English.

Omar W. Abdalla, Aditya Joshi, Rahat Masood, Salil S. Kanhere

CoRR, 2024

AuditNet: A Conversational AI-based Security Assistant [DEMO].

Shohreh Deldari, Mohammad Goudarzi, Aditya Joshi, Arash Shaghaghi, Simon Finn, Flora D. Salim, Sanjay Jha

CoRR, 2024

Spectraformer: A Unified Random Feature Framework for Transformer.

Duke Nguyen, Aditya Joshi, Flora D. Salim

CoRR, 2024

AuditNet: Conversational AI Security Assistant.

Shohreh Deldari, Mohammad Goudarzi, Aditya Joshi, Arash Shaghaghi, Simon Finn, Flora D. Salim, Sanjay Jha

Proceedings of the Adjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction, 2024

2023

Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance.

Jaeff Hong, Duong Dung, Danielle Hutchinson, Zubair Akhtar, Rosalie Chen, Rebecca Dawson, Aditya Joshi, Samsung Lim, C. Raina MacIntyre, Deepti Gurdasani

CoRR, 2023

Queer In AI: A Case Study in Community-Led Participatory AI.

Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, Pranav A, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023

2022

Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering.

Aditya Joshi, Chin Lin Wong, Diego Marinho de Oliveira, Farhad Zafari, Fernando Mourão, Sabir Ribas, Saumya Pandey

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks.

Ashutosh Kumar, Aditya Joshi

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2020

Survey of Text-based Epidemic Intelligence: A Computational Linguistics Perspective.

Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

ACM Comput. Surv., 2020

A Survey on Trust Prediction in Online Social Networks.

Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Cécile Paris, Adnan Mahmood, Shahpar Yakhchi, Mehmet A. Orgun

IEEE Access, 2020

Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter.

Rhys Biddle, Aditya Joshi, Shaowu Liu, Cécile Paris, Guandong Xu

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A dynamic deep trust prediction approach for online social networks.

Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Cécile Paris, Shahpar Yakhchi, Alireza Jolfaei, Mehmet A. Orgun

Proceedings of the MoMM '20: The 18th International Conference on Advances in Mobile Computing and Multimedia, Chiang Mai, Thailand, November 30, 2020

Enhancing Neural Sentiment Analysis with Aspect Weights.

Urmi Saha, Abhijeet Dubey, Aditya Joshi, Pushpak Bhattachharyya

Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

'Watch the Flu': A Tweet Monitoring Tool for Epidemic Intelligence of Influenza in Australia.

Brian Jin, Aditya Joshi, Ross Sparks, Stephen Wan, Cécile Paris, C. Raina MacIntyre

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective.

Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

CoRR, 2019

DCAT: A Deep Context-Aware Trust Prediction Approach for Online Social Networks.

Seyed Mohssen Ghafari, Aditya Joshi, Amin Beheshti, Cécile Paris, Shahpar Yakhchi, Mehmet A. Orgun

Proceedings of the MoMM 2019: The 17th International Conference on Advances in Mobile Computing & Multimedia, 2019

Deep Models for Converting Sarcastic Utterances into their Non Sarcastic Interpretation.

Abhijeet Dubey, Aditya Joshi, Pushpak Bhattacharyya

Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics.

Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

2018

Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection.

Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre

Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, 2018

2017

Automatic Sarcasm Detection: A Survey.

Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman

ACM Comput. Surv., 2017

Detecting Sarcasm Using Different Forms Of Incongruity.

Aditya Joshi

Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

Expect the Unexpected: Harnessing Sentence Completion for Sarcasm Detection.

Aditya Joshi, Samarth Agrawal, Pushpak Bhattacharyya, Mark James Carman

Proceedings of the Computational Linguistics, 2017

2016

A Framework that Uses the Web for Named Entity Class Identification: Case Study for Indian Classical Music Forums.

Joe Cheri Ross, Aditya Joshi, Pushpak Bhattacharyya

Computación y Sistemas, 2016

Are Word Embedding-based Features Useful for Sarcasm Detection?

Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, Mark James Carman

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series 'Friends'.

Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, Mark James Carman

Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

2015

Harnessing Context Incongruity for Sarcasm Detection.

Aditya Joshi, Vinita Sharma, Pushpak Bhattacharyya

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

A Computational Approach to Automatic Prediction of Drunk-Texting.

Aditya Joshi, Abhijit Mishra, Balamurali A. R., Pushpak Bhattacharyya, Mark James Carman

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Measuring Sentiment Annotation Complexity of Text.

Aditya Joshi, Abhijit Mishra, Nivvedan Senthamilselvan, Pushpak Bhattacharyya

Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014