Dr Aditya Joshi

Lecturer

PhD, Indian Institute of Technology Bombay, India and Monash University, Australia (jointly awarded). Thesis title: 'Investigations in Computational Sarcasm' [Monograph], 2018
MTech (Computer Science and Engineering), IIT Bombay. Dissertation title: 'Adaptation of Sentiment Analysis to a New Text Form', 2011

Engineering

Computer Science and Engineering

I am a Lecturer (US/India Equivalent: Assistant Professor) in the School of Computer Science & Engineering at UNSW, specializing in natural language processing (NLP).

Research: As of April 2024, my papers have 3000+ citations (h-index: 26; Google Scholar), and I have been the lead investigator in grants with a cumulative total of A$3.1M, including Defence Trailblazer and Google grants as a lead CI, and NHMRC and AEA Ignite as a CI. My publications are in conferences such as ACL, EMNLP, COLING, and CONLL, and in journals such as ACM Computing Surveys and PLOS One. I have been acknowledged as an outstanding reviewer at ICML, ACL and EACL. I have presented tutorials at EMNLP, AACL, ALTA and ICON. My 2018 TEDx talk 'Detecting sarcasm, combating hate' interleaved my PhD thesis with my personal journey. I apply NLP to epidemic intelligence in my collaboration with EPIWATCH (Kirby Institute) and to cybersecurity with IFCYBER (School of CSE). I supervise undergraduate, Masters and PhD students on their research projects in NLP.

Teaching: I designed and introduced a new NLP course at UNSW in 2024. I have co-authored a textbook on NLP with Pushpak Bhattacharyya, published by Wiley in 2023.
I am an Associate of the Human Rights Institute at UNSW, and co-lead the Community of Practice for Inclusive Research with Queer, Trans & people with variations of sex characteristics. I was the organizing chair for 'Rainbow AI': a workshop to support queer students in Australia interested in HDR and research careers in AI. The workshop was funded by Google's exploreCSR grant.

Past Experience: I also have over five years of industry experience in applying NLP techniques to various domains, such as online employment marketplace, meeting analytics and epidemic intelligence. I obtained a joint PhD degree from IIT Bombay (India) and Monash University (Australia) in 2018, and a best PhD thesis award by IITB-Monash Research Academy. Before joining UNSW in 2023, I worked as a data scientist at SEEK, a market leader in online employment marketplaces, and as a machine learning engineer at Notiv, a startup that provides AI-powered meeting insights, and a senior data scientist at Fractal, a leader in analytics. In these roles, I developed and deployed recommender systems, land natural language understanding systems, using state-of-the-art tools and frameworks, such as Azure Databricks, Atlassian Suite, and PyTorch. I have also worked as a lead trainer at the Institute of Data, that offers data science certifications to industry professionals.

E-mail

aditya.joshi@unsw.edu.au

Books | 2023

Joshi A, 2023, Natural Language Processing, Wiley, India, https://www.wileyindia.com/natural-language-processing-1.html
Book Chapters | 2023

Kanojia D; Joshi A, 2023, 'Applications and challenges of SA in real-life scenarios', in Computational Intelligence Applications for Text and Sentiment Data Analysis, pp. 49 - 80, http://dx.doi.org/10.1016/B978-0-32-390535-0.00008-2

Book Chapters | 2018

Joshi A; Bhattacharyya P; Carman MJ, 2018, 'Conclusion and future work', in Cognitive Systems Monographs, pp. 129 - 135, http://dx.doi.org/10.1007/978-981-10-8396-9_6

Book Chapters | 2018

Joshi A; Bhattacharyya P; Carman MJ, 2018, 'Investigations in computational sarcasm', in Cognitive Systems Monographs, pp. 137 - 143

Book Chapters | 2018

Joshi A; Bhattacharyya P; Carman MJ, 2018, 'Sarcasm detection using contextual incongruity', in Cognitive Systems Monographs, pp. 93 - 118, http://dx.doi.org/10.1007/978-981-10-8396-9_4

Book Chapters | 2018

Joshi A; Bhattacharyya P; Carman MJ, 2018, 'Sarcasm detection using incongruity within target text', in Cognitive Systems Monographs, pp. 59 - 91, http://dx.doi.org/10.1007/978-981-10-8396-9_3

Book Chapters | 2018

Joshi A; Bhattacharyya P; Carman MJ, 2018, 'Sarcasm generation', in Cognitive Systems Monographs, pp. 119 - 127, http://dx.doi.org/10.1007/978-981-10-8396-9_5

Book Chapters | 2018

Joshi A; Bhattacharyya P; Carman MJ, 2018, 'Understanding the phenomenon of sarcasm', in Cognitive Systems Monographs, pp. 33 - 57, http://dx.doi.org/10.1007/978-981-10-8396-9_2
Journal articles | 2025

Joshi A; Dabre R; Kanojia D; Li Z; Zhan H; Haffari G; Dippold D, 2025, 'Natural Language Processing for Dialects of a Language: A Survey', ACM Computing Surveys, 57, http://dx.doi.org/10.1145/3712060

Journal articles | 2020

Ghafari SM; Beheshti A; Joshi A; Paris C; Mahmood A; Yakhchi S; Orgun MA, 2020, 'A Survey on Trust Prediction in Online Social Networks', IEEE Access, 8, pp. 144292 - 144309, http://dx.doi.org/10.1109/ACCESS.2020.3009445

Journal articles | 2020

Joshi A; Sparks R; Karimi S; Yan SLJ; Chughtai AA; Paris C; Raina MacIntyre C; MacIntyre R, 2020, 'Automated monitoring of tweets for early detection of the 2014 Ebola epidemic', PLoS ONE, 15, pp. e0230322, http://dx.doi.org/10.1371/journal.pone.0230322

Journal articles | 2020

Joshi A; Sparks R; McHugh J; Karimi S; Paris C; MacIntyre CR, 2020, 'Harnessing Tweets for Early Detection of an Acute Disease Event', Epidemiology, 31, pp. 90 - 97, http://dx.doi.org/10.1097/EDE.0000000000001133

Journal articles | 2020

Sparks R; Joshi A; Paris C; Karimi S; MacIntyre CR, 2020, 'Monitoring events with application to syndromic surveillance using social media data', Engineering Reports, 2, http://dx.doi.org/10.1002/eng2.12152

Journal articles | 2020

Sparks R; Paris C; Joshi A; Xu C, 2020, 'Comments on the three-zone approach for social media monitoring', Quality Engineering, 32, pp. 1 - 3, http://dx.doi.org/10.1080/08982112.2019.1644522

Journal articles | 2019

Joshi A; Karim S; Sparks R; Paris C; MacIntyre R, 2019, 'Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective', ACM Computing Surveys

Journal articles | 2019

Joshi A; Karimi S; Sparks R; Paris C; MacIntyre CR, 2019, 'A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics', SIGBIOMED WORKSHOP ON BIOMEDICAL NATURAL LANGUAGE PROCESSING (BIONLP 2019), pp. 135 - 141, https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000521946800015&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1

Journal articles | 2018

Joshi A; Bhattacharyya P; Carman MJ, 2018, 'Automatic sarcasm detection: A survey', ACM Computing Surveys, 50, http://dx.doi.org/10.1145/3124420

Journal articles | 2018

Joshi A; Bhattacharyya P; Carman MJ, 2018, 'Introduction', Cognitive Systems Monographs, 37, pp. 1 - 31, http://dx.doi.org/10.1007/978-981-10-8396-9_1

Journal articles | 2016

Ross JC; Joshi A; Bhattacharyya P, 2016, 'A Framework that Uses the Web for Named Entity Class Identification: Case Study for Indian Classical Music Forums', Computacion y Sistemas, 20, pp. 505 - 513, http://dx.doi.org/10.13053/CyS-20-3-2464
Preprints | 2025

Lin J; Joshi A; Paik H-Y; Doung TD; Gurdasani D, 2025, RACCOON: A Retrieval-Augmented Generation Approach for Location Coordinate Capture from News Articles, http://arxiv.org/abs/2501.11440v1

Preprints | 2024

Abdalla OW; Joshi A; Masood R; Kanhere SS, 2024, Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English, http://arxiv.org/abs/2411.10730v1

Preprints | 2024

Chan FL; Nguyen D; Joshi A, 2024, "Is Hate Lost in Translation?": Evaluation of Multilingual LGBTQIA+ Hate Speech Detection, http://arxiv.org/abs/2410.11230v2

Conference Papers | 2024

Deldari S; Goudarzi M; Joshi A; Shaghaghi A; Finn S; Salim FD; Jha S, 2024, 'AuditNet: A Conversational AI-based Security Assistant', in MobileHCI 2024 Adjunct Proceedings - Publication of the 26th International Conference on Mobile Human-Computer Interaction, http://dx.doi.org/10.1145/3640471.3680444

Preprints | 2024

Deldari S; Goudarzi M; Joshi A; Shaghaghi A; Finn S; Salim FD; Jha S, 2024, AuditNet: A Conversational AI-based Security Assistant [DEMO], http://dx.doi.org/10.48550/arxiv.2407.14116

Conference Papers | 2024

Garg P; Tyagi S; Joshi A; Pandey A; Panwar D, 2024, 'Supervised Machine Learning Approaches for Customer Reviews Sentiment Analysis', in Lecture Notes in Networks and Systems, pp. 211 - 223, http://dx.doi.org/10.1007/978-981-97-2031-6_19

Conference Papers | 2024

Ghosh SB; Kumar H; Joshi A; Kumar A; Jain T, 2024, 'Twitter Trolling Detection Using Machine Learning', in Lecture Notes in Networks and Systems, pp. 55 - 65, http://dx.doi.org/10.1007/978-981-97-2031-6_6

Preprints | 2024

Joshi A; Dabre R; Kanojia D; Li Z; Zhan H; Haffari G; Dippold D, 2024, Natural Language Processing for Dialects of a Language: A Survey, http://arxiv.org/abs/2401.05632v4

Preprints | 2024

Joshi A; Kanojia D; Lent H; Kaing H; Song H, 2024, Connecting Ideas in 'Lower-Resource' Scenarios: NLP for National Varieties, Creoles and Other Low-resource Scenarios, http://arxiv.org/abs/2409.12683v1

Conference Papers | 2024

Joshi A; Renzella J; Bhattacharyya P; Jha S; Zhang X, 2024, 'Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy', in TeachNLP 2024 - 6th Workshop on Teaching NLP, Proceedings of the Workshop, pp. 23 - 32

Preprints | 2024

Joshi A; Renzella J; Bhattacharyya P; Jha S; Zhang X, 2024, Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy, http://arxiv.org/abs/2405.09854v2

Conference Papers | 2024

Joshi A; Singh Y; Pareek V; Sharda I; Jain T, 2024, 'Medical Document Classification using NLP Techniques', in 2024 1st International Conference on Software, Systems and Information Technology, SSITCON 2024, http://dx.doi.org/10.1109/SSITCON62437.2024.10795870

Reports | 2024

Kaladelfos A; Newman C; Drysdale K; Haire B; Burton-Clark Y; Brady B; Smith A; Joshi A, 2024, Submission to the Australian Human Rights Commission: Current and emerging threats to trans and gender diverse human rights

Preprints | 2024

Nguyen D; Joshi A; Salim F, 2024, Spectraformer: A Unified Random Feature Framework for Transformer, http://arxiv.org/abs/2405.15310v3

Preprints | 2024

Shen Z; Joshi A; Chen R-C, 2024, BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pretraining of BabyLM, http://arxiv.org/abs/2406.11418v2

Conference Papers | 2024

Shen Z; Joshi A; Chen RC, 2024, 'BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pre-training of BabyLM', in CMCL 2024 - 13th Edition of the Workshop on Cognitive Modeling and Computational Linguistics, Proceedings of the Workshop, pp. 1 - 7

Preprints | 2024

Srirag D; Joshi A; Eisenstein J, 2024, Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models, http://arxiv.org/abs/2409.00358v2

Preprints | 2024

Srirag D; Joshi A; Painter J; Kanojia D, 2024, BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English, http://arxiv.org/abs/2412.04726v2

Preprints | 2024

Srirag D; Painter J; Joshi A; Kanojia D, 2024, Experiences from Creating a Benchmark for Sentiment Classification for Varieties of English, http://arxiv.org/abs/2410.11216v2

Preprints | 2024

Srirag D; Sahoo NR; Joshi A, 2024, Evaluating Dialect Robustness of Language Models via Conversation Understanding, http://arxiv.org/abs/2405.05688v3

Preprints | 2024

Vaidya A; Arora A; Joshi A; Prabhakar T, 2024, Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages, http://arxiv.org/abs/2401.03677v1

Preprints | 2023

Hong J; Dung D; Hutchinson D; Akhtar Z; Chen R; Dawson R; Joshi A; Lim S; MacIntyre CR; Gurdasani D, 2023, Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance, http://arxiv.org/abs/2311.01472v1

Preprints | 2023

Joshi A; Rawat S; Dange A, 2023, Evaluation of large language models using an Indian language LGBTI+ lexicon, http://arxiv.org/abs/2310.17787v1

Conference Papers | 2023

Nguyen D; Naing KMN; Joshi A, 2023, 'Stacking the Odds: Transformer-Based Ensemble for AI-Generated Text Detection', in Proceedings of the Australasian Language Technology Workshop, pp. 173 - 178

Preprints | 2023

Nguyen D; Naing KMN; Joshi A, 2023, Stacking the Odds: Transformer-Based Ensemble for AI-Generated Text Detection, http://arxiv.org/abs/2310.18906v1

Conference Papers | 2023

Queerinai OO; Ovalle A; Subramonian A; Singh A; Voelcker C; Sutherland DJ; Locatelli D; Breznik E; Klubicka F; Yuan H; Hetvi J; Zhang H; Shriram J; Lehman K; Soldaini L; Sap M; Deisenroth MP; Pacheco ML; Ryskina M; Mundt M; Agarwal M; Mclean N; Xu P; Pranav A; Korpan R; Ray R; Mathew S; Arora S; John S; Anand T; Agrawal V; Agnew W; Long Y; Wang ZJ; Talat Z; Ghosh A; Dennler N; Noseworthy M; Jha S; Baylor E; Joshi A; Bilenko NY; Mcnamara A; Gontijo-Lopes R; Markham A; Dong E; Kay J; Saraswat M; Vytla N; Stark L, 2023, 'Queer In AI: A Case Study in Community-Led Participatory AI', in ACM International Conference Proceeding Series, pp. 1882 - 1895, http://dx.doi.org/10.1145/3593013.3594134

Conference Papers | 2022

Joshi A; Wong CL; De Oliveira DM; Zafari F; Mourao F; Ribas S; Pandey S, 2022, 'Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering', in RecSys 2022 - Proceedings of the 16th ACM Conference on Recommender Systems, pp. 531 - 533, http://dx.doi.org/10.1145/3523227.3547404

Conference Papers | 2022

Kumar A; Joshi A, 2022, 'Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 1887 - 1895, http://dx.doi.org/10.18653/v1/2022.findings-acl.148

Conference Papers | 2022

Shekhawat TS; Kumar M; Rathore U; Joshi A; Patro J, 2022, 'IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English', in SemEval 2022 - 16th International Workshop on Semantic Evaluation, Proceedings of the Workshop, pp. 938 - 944

Conference Papers | 2021

Dubey A; Kumar L; Somani A; Joshi A; Bhattacharyya P, 2021, '“When numbers matter!”: Detecting sarcasm in numerical portions of text', in WASSA@NAACL-HLT 2019 - 10th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, Proceedings, pp. 72 - 80

Conference Papers | 2020

Biddle R; Joshi A; Liu S; Paris C; Xu G, 2020, 'Leveraging Sentiment Distributions to Distinguish Figurative from Literal Health Reports on Twitter', in The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020, pp. 1217 - 1227, http://dx.doi.org/10.1145/3366423.3380198

Conference Papers | 2020

Ghafari SM; Beheshti A; Joshi A; Paris C; Yakhchi S; Jolfaei A; Orgun MA, 2020, 'A dynamic deep trust prediction approach for online social networks', in ACM International Conference Proceeding Series, pp. 11 - 19, http://dx.doi.org/10.1145/3428690.3429167

Conference Papers | 2020

Iyer A; Joshi A; Karimi S; Sparks R; Paris C, 2020, 'Figurative usage detection of symptom words to improve personal health mention detection', in ACL 2019 - 57th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, pp. 1142 - 1147

Conference Abstracts | 2020

Jin B; Joshi A; Sparks R; Wan S; Paris C; MacIntyre CR, 2020, ''Watch the flu': A tweet monitoring tool for epidemic intelligence of influenza in australia', in AAAI 2020 - 34th AAAI Conference on Artificial Intelligence, pp. 13616 - 13617

Conference Papers | 2020

Saha U; Dubey A; Joshi A; Bhattachharyya P, 2020, 'Enhancing neural sentiment analysis with aspect weights', in ACM International Conference Proceeding Series, pp. 332 - 333, http://dx.doi.org/10.1145/3371158.3371211

Conference Papers | 2020

Sheoran A; Kanojia D; Joshi A; Bhattacharyya P, 2020, 'Recommendation chart of domains for cross-domain sentiment analysis: Findings of A 20 domain study', in LREC 2020 - 12th International Conference on Language Resources and Evaluation, Conference Proceedings, pp. 4982 - 4990

Conference Papers | 2020

Sparks R; Joshi A; Paris C; Karimi S, 2020, 'An approach to monitoring time between events when events are frequent', in 13th International Workshop on Intelligent Statistical Quality Control 2019, IWISQC 2019 - Proceedings, pp. 215 - 228

Conference Papers | 2019

Dubey A; Joshi A; Bhattacharyya P, 2019, 'Deep models for converting sarcastic utterances into their non sarcastic interpretation', in ACM International Conference Proceeding Series, pp. 289 - 292, http://dx.doi.org/10.1145/3297001.3297043

Conference Papers | 2019

Ghafari SM; Joshi A; Beheshti A; Paris C; Yakhchi S; Orgun M, 2019, 'DCAT: A Deep Context-Aware Trust Prediction Approach for Online Social Networks', in ACM International Conference Proceeding Series, pp. 20 - 27, http://dx.doi.org/10.1145/3365921.3365940

Preprints | 2019

Iyer A; Joshi A; Karimi S; Sparks R; Paris C, 2019, Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection, http://arxiv.org/abs/1906.05466v2

Conference Papers | 2019

Joshi A; Goel P; Bhattacharyya P; Carman MJ, 2019, 'Sarcasm target identification: Dataset and an introductory approach', in LREC 2018 - 11th International Conference on Language Resources and Evaluation, pp. 2676 - 2683

Conference Papers | 2019

Joshi A; Karimi S; Sparks R; Paris C; MacIntyre CR, 2019, 'A comparison of word-based and context-based representations for classification problems in health informatics', in BioNLP 2019 - SIGBioMed Workshop on Biomedical Natural Language Processing, Proceedings of the 18th BioNLP Workshop and Shared Task, pp. 135 - 141

Preprints | 2019

Joshi A; Karimi S; Sparks R; Paris C; MacIntyre CR, 2019, A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics, http://dx.doi.org/10.48550/arxiv.1906.05468

Preprints | 2019

Joshi A; Karimi S; Sparks R; Paris C; MacIntyre CR, 2019, Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective, http://arxiv.org/abs/1903.05801v1

Conference Papers | 2019

Joshi A; Karimi S; Sparks R; Paris C; Macintyre CR, 2019, 'Does Multi-Task Learning Always Help? An Evaluation on Health Informatics Tasks', in Proceedings of the Australasian Language Technology Workshop

Conference Papers | 2019

Molla D; Joshi A, 2019, 'Overview of the 2019 ALTA Shared Task: Sarcasm Target Identification', in Proceedings of the Australasian Language Technology Workshop

Conference Papers | 2019

Tay W; Joshi A; Zhang X; Karimi S; Wan S, 2019, 'Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation', in Proceedings of the Australasian Language Technology Workshop

Conference Papers | 2018

Joshi A; Agrawal S; Bhattacharyya P; Carman MJ, 2018, 'Expect the Unexpected: Harnessing Sentence Completion for Sarcasm Detection', in Communications in Computer and Information Science, pp. 275 - 287, http://dx.doi.org/10.1007/978-981-10-8438-6_22

Conference Papers | 2018

Joshi A; Dai X; Karimi S; Sparks R; Paris C; MacIntyre CR, 2018, 'Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection', in Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, Association for Computational Linguistics, pp. 43 - 47, presented at Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, - , http://dx.doi.org/10.18653/v1/w18-5911

Preprints | 2018

Kamble S; Joshi A, 2018, Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models, http://arxiv.org/abs/1811.05145v1

Preprints | 2017

Joshi A; Agrawal S; Bhattacharyya P; Carman M, 2017, Expect the unexpected: Harnessing Sentence Completion for Sarcasm Detection, http://arxiv.org/abs/1707.06151v1

Conference Papers | 2017

Joshi A; Kanojia D; Bhattacharyya P; Carman M, 2017, 'Sarcasm suite: A browser-based engine for sarcasm detection and generation', in 31st AAAI Conference on Artificial Intelligence, AAAI 2017, pp. 5095 - 5096

Conference Papers | 2017

Joshi A, 2017, 'Detecting sarcasm using different forms of incongruity', in EMNLP 2017 - 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2017 - Proceedings of the Workshop, pp. 1, http://dx.doi.org/10.18653/v1/w17-5201

Conference Papers | 2016

Joshi A; Bhattacharyya P; Carman M; Saraswati J; Shukla R, 2016, 'How do cultural differences impact the quality of sarcasm annotation?: A case study of Indian annotators and American text', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 95 - 99

Conference Papers | 2016

Joshi A; Bhattacharyya P; Carman M, 2016, 'Political issue extraction model: A novel hierarchical topic model that uses tweets by political and non-political authors', in Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016, pp. 82 - 90

Preprints | 2016

Joshi A; Bhattacharyya P; Carman MJ, 2016, Automatic Sarcasm Detection: A Survey, http://arxiv.org/abs/1602.03426v2

Preprints | 2016

Joshi A; Goel P; Bhattacharyya P; Carman M, 2016, Automatic Identification of Sarcasm Target: An Introductory Approach, http://arxiv.org/abs/1610.07091v2

Preprints | 2016

Joshi A; Jain P; Bhattacharyya P; Carman M, 2016, `Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection, http://arxiv.org/abs/1611.04326v2

Preprints | 2016

Joshi A; Mishra A; Balamurali AR; Bhattacharyya P; Carman M, 2016, A Computational Approach to Automatic Prediction of Drunk Texting, http://arxiv.org/abs/1610.00879v1

Conference Papers | 2016

Joshi A; Tripathi V; Bhattacharyya P; Carman M, 2016, 'Harnessing sequence labeling for sarcasm detection in dialogue from TV series ‘Friends’', in CoNLL 2016 - 20th SIGNLL Conference on Computational Natural Language Learning, Proceedings, pp. 146 - 155, http://dx.doi.org/10.18653/v1/k16-1015

Conference Papers | 2016

Joshi A; Tripathi V; Bhattacharyya P; Carman MJ; Singh M; Saraswati J; Shukla R, 2016, 'How challenging is sarcasm versus irony classification?: An analysis from human and computational perspectives', in Australasian Language Technology Association Workshop 2016, ALTA 2016 - Proceedings, pp. 123 - 127

Conference Papers | 2016

Joshi A; Tripathi V; Patel K; Bhattacharyya P; Carman M, 2016, 'Are word embedding-based features useful for sarcasm detection?', in EMNLP 2016 - Conference on Empirical Methods in Natural Language Processing, Proceedings, pp. 1006 - 1011, http://dx.doi.org/10.18653/v1/d16-1104

Preprints | 2016

Joshi A; Tripathi V; Patel K; Bhattacharyya P; Carman M, 2016, Are Word Embedding-based Features Useful for Sarcasm Detection?, http://arxiv.org/abs/1610.00883v1

Conference Papers | 2016

Joshi A; Tripathi V; Soni R; Bhattacharyya P; Carman MJ, 2016, 'EmoGram: An open-source time sequence-based emotion tracker and its innovative applications', in AAAI Workshop - Technical Report, pp. 512 - 516

Conference Papers | 2016

Kanojia D; Joshi A; Bhattacharyya P; Carman MJ, 2016, 'That'll do Fine!: A coarse lexical resource for English-Hindi MT, using polylingual topic models', in Proceedings of the 10th International Conference on Language Resources and Evaluation, LREC 2016, pp. 2199 - 2203

Conference Papers | 2015

Joshi A; Mishra A; Balamurali AR; Bhattacharyya P; Carman MJ, 2015, 'A computational approach to automatic prediction of drunk-texting', in ACL-IJCNLP 2015 - 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, Proceedings of the Conference, pp. 604 - 608, http://dx.doi.org/10.3115/v1/p15-2100

Conference Papers | 2015

Joshi A; Sharma V; Bhattacharyya P, 2015, 'Harnessing context incongruity for sarcasm detection', in ACL-IJCNLP 2015 - 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, Proceedings of the Conference, pp. 757 - 762, http://dx.doi.org/10.3115/v1/p15-2124

Conference Papers | 2015

Khattri A; Joshi A; Bhattacharyya P; Carman MJ, 2015, 'Your sentiment precedes you: Using an author's historical tweets to predict sarcasm', in 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, WASSA 2015 at the 2015 Conference on Empirical Methods in Natural Language Processing, EMNLP 2015 - Proceedings, pp. 25 - 30

Conference Papers | 2014

Joshi A; Mishra A; Senthamilselvan N; Bhattacharyya P, 2014, 'Measuring Sentiment Annotation Complexity of text', in 52nd Annual Meeting of the Association for Computational Linguistics, ACL 2014 - Proceedings of the Conference, pp. 36 - 41, http://dx.doi.org/10.3115/v1/p14-2007

Conference Papers | 2014

Mishra A; Joshi A; Bhattacharyya P, 2014, 'A cognitive study of subjectivity extraction in sentiment annotation', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 142 - 146

Conference Papers | 2013

Joshi A; Popat K; Gautam S; Bhattacharyya P, 2013, 'Making Headlines in Hindi: Automatic English to Hindi News Headline Translation', in 6th International Joint Conference on Natural Language Processing, IJCNLP 2013 - Companion Volume of the Proceedings: System Demonstrations, pp. 21 - 24

Conference Papers | 2012

Balamurali AR; Joshi A; Bhattacharyya P, 2012, 'Cost and benefit of using wordnet senses for sentiment analysis', in Proceedings of the 8th International Conference on Language Resources and Evaluation, LREC 2012, pp. 3090 - 3097

Conference Papers | 2011

Balamural RA; Joshi A; Bhattacharyya P, 2011, 'Robust Sense-Based Sentiment Classification', in Proceedings of the Annual Meeting of the Association for Computational Linguistics, pp. 132 - 138

Conference Papers | 2011

Balamurali AR; Joshi A; Bhattacharyya P, 2011, 'Harnessing WordNet senses for supervised sentiment classification', in EMNLP 2011 - Conference on Empirical Methods in Natural Language Processing, Proceedings of the Conference, pp. 1081 - 1091

Conference Papers | 2011

Joshi A; Balamurali AR; Bhattacharyya P; Mohanty R, 2011, 'C-Feel-It: A sentiment analyzer for micro-blogs', in ACL HLT 2011 - 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of Student Session, pp. 127 - 132

Topic (Role)	Funding organisation	Name of Funding program	Co-PIs	Amount
Comprehensive Defence Data Platform (Lead CI)	Defence Trailblazer	Defence Trailblazer 2025	Prof. Flora Salim	1.4M AUD
SENTIWATCH: Developing real-time sentiment analysis and disinformation warning using artificial intelligence within the EPIWATCH® AI epidemic alert system (CI)	AEA Ignite	AEA Ignite 2025	Prof. Raina MacIntyre (UNSW)	500K AUD
User-centred design and testing of a conversational Artificial Intelligence (AI) chatbot to address language barriers in Emergency Department Triage (CI)	NHMRC	NHMRC Ideas 2025	Dr. Padmanesan Narasimhan (UNSW)	980K AUD
A benchmark for sentiment and sarcasm classification for dialects of English (Lead CI)	Google Research	Google exploreCSR 2024	Dr. Diptesh Kanojia (Uni of Surrey, UK)	92K AUD
Fake news detection in the context of national security policy (Lead CI)	UNSW Global	Global Research and Innovation Program (GRIP) 2023	Profs. Sanjay Jha, Salil Kanhere (UNSW)	20K AUD
LGBTI+ inclusion in AI (Lead CI)	Google Research	Google exploreCSR 2023	Dr. Ben Hutchinson (Google)	51K AUD

Contract Research:

- FrontierSI: A$54K. (with Prof. Flora Salim)

-NSW Department of Education: A$5K (Solo)

Topic (Role)
Comprehensive Defence Data Platform (Lead CI)
Funding organisation
Defence Trailblazer
Name of Funding program
Defence Trailblazer 2025
Co-PIs
Prof. Flora Salim
Amount
1.4M AUD
Topic (Role)
SENTIWATCH: Developing real-time sentiment analysis and disinformation warning using artificial intelligence within the EPIWATCH® AI epidemic alert system (CI)
Funding organisation
AEA Ignite
Name of Funding program
AEA Ignite 2025
Co-PIs
Prof. Raina MacIntyre (UNSW)
Amount
500K AUD
Topic (Role)
User-centred design and testing of a conversational Artificial Intelligence (AI) chatbot to address language barriers in Emergency Department Triage (CI)
Funding organisation
NHMRC
Name of Funding program
NHMRC Ideas 2025
Co-PIs
Dr. Padmanesan Narasimhan (UNSW)
Amount
980K AUD
Topic (Role)
A benchmark for sentiment and sarcasm classification for dialects of English (Lead CI)
Funding organisation
Google Research
Name of Funding program
Google exploreCSR 2024
Co-PIs
Dr. Diptesh Kanojia (Uni of Surrey, UK)
Amount
92K AUD
Topic (Role)
Fake news detection in the context of national security policy (Lead CI)
Funding organisation
UNSW Global
Name of Funding program
Global Research and Innovation Program (GRIP) 2023
Co-PIs
Profs. Sanjay Jha, Salil Kanhere (UNSW)
Amount
20K AUD
Topic (Role)
LGBTI+ inclusion in AI (Lead CI)
Funding organisation
Google Research
Name of Funding program
Google exploreCSR 2023
Co-PIs
Dr. Ben Hutchinson (Google)
Amount
51K AUD

Publications: (Stale list)

Best PhD Thesis (2018) awarded by IITB-Monash Research Academy
Best Paper at ACM FAccT 2023 in June 2023. (Collaborative paper by multiple authors at Queer in AI)
Best Paper at MoMM 2020 in December 2020. (Lead author was a PhD student at Macquarie University, Sydney, who was co-supervised by me).
Best Student Paper - Runner Up at ALTA 2019 in December 2019. (Lead author was a PhD Student at RMIT, Melbourne.)
Best Paper from IITB-Monash Research Academy consecutively in 2015 and 2014.

Presentations: (Stale list)

Best Sprint Thesis Talk (Senior Researcher category) at RISC 2016, Research symposium organized by Department of CSE, IIT Bombay in April 2016.
Best 3-Minute Thesis Talk Awards at IITB-Monash Research Academy in 2015 and 2014.
Best Poster, IBM Research Day, Dept. of CSE, IIT Bombay in August 2015.
Invited speaker, VAIBHAV Summit organised by the Government of India, 2020.

Other: (Stale list)

First place in the shared task on vaccination behaviour detection at SMM4H workshop at EMNLP 2018 in October 2018.
Tata Consulting Services Research Scholar Fellowship in 2013.

I have worked in several problems of natural language processing (NLP) and its applications to several fields: epidemic intelligence, cybersecurity and LGBTI inclusion. This includes research as well as industry outputs. A significant portion of my current research is making NLP models robust for varieties of English.

Service:

Executive Committee Member, Australasian Language Technology Association (ALTA), 2025 onwards.
arXiv moderator, cs.CL, 2025 onwards.
Sponsorship Chair, AACL-IJCNLP 2025, December 2025.
Track Chair (AI & Cybersecurity), BuildSec 2024, December 2024.
Volunteer, CSIRO's STEM Professionals in School, 2018-2019.

Tutorials:

`Connecting Ideas in Lower-Resource Scenarios: NLP for national Varieties, Creoles and other low resource languages', COLING, Abu Dhabi, UAE, January 2025. (Co-speakers: Heather Lent, Diptesh Kanojia, Haiyue Song, Hour Kaing)
`NLP for Healthcare in the Absence of a Healthcare Dataset', AACL, Suzhou, China, December 2020. (Co-speaker: Sarvnaz Karimi)
`NLP for Healthcare in the Absence of a Healthcare Dataset', ALTA, Sydney, Australia, December 2019. (Co-speaker: Sarvnaz Karimi)
`Computational Sarcasm', presented at \textbf{EMNLP} 2017, Copenhagen, Denmark, September 2017. (Co-speaker: Pushpak Bhattacharyya)

Non-conference talks:

'Introduction to LLMs and NLP', Multiple talks at NSW Supreme Court Conference, WA Magistrates Conference and 'AI and the Courts Symposium' all organised by the National Judicial College of Australia, 2024
'NLP for varieties of English', Standup comedy talk at Sydney Fringe Festival, 2024.
`Language of the Queer in India' at the `Queer in AI' social at NAACL, 2021.
`Social media-based epidemic intelligence' in the panel on `NLP for social good' at the VAIBHAV summit (Vaishwik Bharatiya Vaigyanik) summit organised by the Government of India, 2020.
`Detecting Sarcasm, Combating Hate', TEDx talk at TEDxSomaiyaVidyavihar, an independently organised TEDx event, Mumbai, India, 2018.
`Detecting sarcasm using incongruity', invited speaker at WASSA workshop at EMNLP 2017, Copenhagen, Denmark, 2017.

Posters:

`Computational Sarcasm', Google NLP Summit organized by Google Zurich, September 2017.
`Sarcasm Detection' and `Drunk-Texting Prediction', Research Colloqium, XRCI Open 2016 organized by Xerox Research Center India, Bengaluru, January 2016.
`Sarcasm Technology', IBM Research Day 2015 organized by IBM Research Lab, Bengaluru, August 2015.
`Sentiment Annotation Complexity', Microsoft TechVista 2015 organized by Microsoft Research India, Bengaluru, January 2015.

Panel Discussions:

Panelist in a discussion on `Integrating ChatGPT in Education' organized by EdTech IIT Bombay, Mumbai, 2023. (Online event)
Panelist in a discussion on `Achieving better health through AI' organized by Venture Cafe Sydney in Macquarie Park, Sydney, 2019.
Panelist in a discussion on `AI in India: Today and Tomorrow' at Data Science Day organized by Web \& Coding Club at IIT Bombay, Mumbai, 2018.

My Research Supervision

- Kernel-based reformulation of attention in Transformers

- Prompt-based methods for sarcasm detection

- Conversation Understanding for Dialects

- Multilingual small-scale large language models

- Misinformation Detection in News Articles

-LLMs for personalized learning

-Emotion recognition in music

My Teaching

Course Convener and Lecturer:

- 2025 Term 1: Natural Language Processing (COMP6713)

- 2024 Term 3: Artificial Inteligence (COMP9414)

- 2024 Term 1: Natural Language Processing (COMP6713) - Undergraduate/Postgraduate (New Course; Design & Delivery)

- 2023 Term 3: Data Structures and Algorithms (COMP9024) - Postgraduate

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