Measuring Sentiment Annotation Complexity of Text. - Aditya Joshi 001; Abhijit Mishra; Nivvedan Senthamilselvan; Pushpak Bhattacharyya (ACL (2), 2014)

A Computational Approach to Automatic Prediction of Drunk-Texting. - Aditya Joshi 001; Abhijit Mishra; Balamurali A. R.; Pushpak Bhattacharyya; Mark James Carman (ACL (2), 2015)

Harnessing Context Incongruity for Sarcasm Detection. - Aditya Joshi 001; Vinita Sharma; Pushpak Bhattacharyya (ACL (2), 2015)

Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series 'Friends'. - Aditya Joshi 001; Vaibhav Tripathi; Pushpak Bhattacharyya; Mark James Carman (CoNLL, 2016)

Are Word Embedding-based Features Useful for Sarcasm Detection? - Aditya Joshi 001; Vaibhav Tripathi; Kevin Patel; Pushpak Bhattacharyya; Mark James Carman (EMNLP, 2016)

A Framework that Uses the Web for Named Entity Class Identification: Case Study for Indian Classical Music Forums. - Joe Cheri Ross; Aditya Joshi 001; Pushpak Bhattacharyya (Computación y Sistemas, 2016)

Expect the Unexpected: Harnessing Sentence Completion for Sarcasm Detection. - Aditya Joshi 001; Samarth Agrawal; Pushpak Bhattacharyya; Mark James Carman (PACLING, 2017)

Detecting Sarcasm Using Different Forms Of Incongruity. - Aditya Joshi 001 (WASSA@EMNLP, 2017)

Automatic Sarcasm Detection: A Survey. - Aditya Joshi 001; Pushpak Bhattacharyya; Mark James Carman (ACM Comput. Surv., 2017)

Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection. - Aditya Joshi 001; Xiang Dai 001; Sarvnaz Karimi; Ross Sparks; Cécile Paris; C. Raina MacIntyre (SMM4H@EMNLP, 2018)

A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics. - Aditya Joshi 001; Sarvnaz Karimi; Ross Sparks; Cécile Paris; C. Raina MacIntyre (BioNLP@ACL, 2019)

Deep Models for Converting Sarcastic Utterances into their Non Sarcastic Interpretation. - Abhijeet Dubey; Aditya Joshi 001; Pushpak Bhattacharyya (COMAD/CODS, 2019)

DCAT: A Deep Context-Aware Trust Prediction Approach for Online Social Networks. - Seyed Mohssen Ghafari; Aditya Joshi 001; Amin Beheshti; Cécile Paris; Shahpar Yakhchi; Mehmet A. Orgun (MoMM, 2019)

Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective. - Aditya Joshi 001; Sarvnaz Karimi; Ross Sparks; Cécile Paris; C. Raina MacIntyre (CoRR, 2019)

'Watch the Flu': A Tweet Monitoring Tool for Epidemic Intelligence of Influenza in Australia. - Brian Jin; Aditya Joshi 001; Ross Sparks; Stephen Wan 001; Cécile Paris; C. Raina MacIntyre (AAAI, 2020)

Enhancing Neural Sentiment Analysis with Aspect Weights. - Urmi Saha; Abhijeet Dubey; Aditya Joshi 001; Pushpak Bhattachharyya (COMAD/CODS, 2020)

A dynamic deep trust prediction approach for online social networks. - Seyed Mohssen Ghafari; Amin Beheshti; Aditya Joshi 001; Cécile Paris; Shahpar Yakhchi; Alireza Jolfaei; Mehmet A. Orgun (MoMM, 2020)

Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter. - Rhys Biddle; Aditya Joshi 001; Shaowu Liu; Cécile Paris; Guandong Xu (WWW, 2020)

A Survey on Trust Prediction in Online Social Networks. - Seyed Mohssen Ghafari; Amin Beheshti; Aditya Joshi 001; Cécile Paris; Adnan Mahmood; Shahpar Yakhchi; Mehmet A. Orgun (IEEE Access, 2020)

Survey of Text-based Epidemic Intelligence: A Computational Linguistics Perspective. - Aditya Joshi 001; Sarvnaz Karimi; Ross Sparks; Cécile Paris; C. Raina MacIntyre (ACM Comput. Surv., 2020)

Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks. - Ashutosh Kumar; Aditya Joshi 001 (ACL (Findings), 2022)

Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering. - Aditya Joshi 001; Chin Lin Wong; Diego Marinho de Oliveira; Farhad Zafari; Fernando Mourão; Sabir Ribas; Saumya Pandey (RecSys, 2022)

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 009; et al. (FAccT, 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 001; Samsung Lim; C. Raina MacIntyre; Deepti Gurdasani (CoRR, 2023)

AuditNet: Conversational AI Security Assistant. - Shohreh Deldari; Mohammad Goudarzi; Aditya Joshi 001; Arash Shaghaghi; Simon Finn; Flora D. Salim; Sanjay Jha 001 (MobileHCI (Companion), 2024)

Spectraformer: A Unified Random Feature Framework for Transformer. - Duke Nguyen; Aditya Joshi 001; Flora D. Salim (CoRR, 2024)

AuditNet: A Conversational AI-based Security Assistant [DEMO]. - Shohreh Deldari; Mohammad Goudarzi; Aditya Joshi 001; Arash Shaghaghi; Simon Finn; Flora D. Salim; Sanjay Jha 001 (CoRR, 2024)

Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English. - Omar W. Abdalla; Aditya Joshi 001; Rahat Masood; Salil S. Kanhere (CoRR, 2024)

RACCOON: A Retrieval-Augmented Generation Approach for Location Coordinate Capture from News Articles. - Jonathan Lin; Aditya Joshi 001; Hye-young Paik; Tri Dung Doung; Deepti Gurdasani (WWW (Companion Volume), 2025)

Natural Language Processing for Dialects of a Language: A Survey. - Aditya Joshi 001; Raj Dabre; Diptesh Kanojia; Zhuang Li 001; Haolan Zhan; Gholamreza Haffari; Doris Dippold (ACM Comput. Surv., 2025)