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Dr Aditya Joshi

Dr Aditya Joshi

Lecturer
  • PhD, Indian Institute of Technology Bombay, India and Monash University, Australia (jointly awarded). Thesis title: '' [], 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 麻豆社madou, specializing in natural language processing (NLP).

搁别蝉别补谤肠丑:听As of April 2024, my papers have 2500+ citations (h-index: 23), and I have been the lead investigator in grants with a cumulative total of AUD150,000, including Google exploreCSR and Google Research scholar grants. 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.

罢别补肠丑颈苍驳:听I designed and introduced a new NLP course at 麻豆社madou 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 麻豆社madou, 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:听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 麻豆社madou 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.

听
E-mail
aditya.joshi@unsw.edu.au
  • Books | 2023
    Joshi A, 2023, Natural Language Processing, Wiley, India,
  • 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,
    Book Chapters | 2018
    Joshi A; Bhattacharyya P; Carman MJ, 2018, 'Conclusion and future work', in Cognitive Systems Monographs, pp. 129 - 135,
    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,
    Book Chapters | 2018
    Joshi A; Bhattacharyya P; Carman MJ, 2018, 'Sarcasm detection using incongruity within target text', in Cognitive Systems Monographs, pp. 59 - 91,
    Book Chapters | 2018
    Joshi A; Bhattacharyya P; Carman MJ, 2018, 'Sarcasm generation', in Cognitive Systems Monographs, pp. 119 - 127,
    Book Chapters | 2018
    Joshi A; Bhattacharyya P; Carman MJ, 2018, 'Understanding the phenomenon of sarcasm', in Cognitive Systems Monographs, pp. 33 - 57,
  • 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,
    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,
    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,
    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,
    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,
    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,
    Journal articles | 2018
    Joshi A; Bhattacharyya P; Carman MJ, 2018, 'Automatic sarcasm detection: A survey', ACM Computing Surveys, 50,
    Journal articles | 2018
    Joshi A; Bhattacharyya P; Carman MJ, 2018, 'Introduction', Cognitive Systems Monographs, 37, pp. 1 - 31,
    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,
  • 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,
    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,
    Preprints | 2024
    Chan FL; Nguyen D; Joshi A, 2024, "Is Hate Lost in Translation?": Evaluation of Multilingual LGBTQIA+ Hate Speech Detection,
    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,
    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],
    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,
    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,
    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,
    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,
    Preprints | 2024
    Shen Z; Joshi A; Chen R-C, 2024, BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pretraining of BabyLM,
    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,
    Preprints | 2024
    Srirag D; Joshi A; Painter J; Kanojia D, 2024, BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English,
    Preprints | 2024
    Srirag D; Painter J; Joshi A; Kanojia D, 2024, Experiences from Creating a Benchmark for Sentiment Classification for Varieties of English,
    Preprints | 2024
    Srirag D; Sahoo NR; Joshi A, 2024, Evaluating Dialect Robustness of Language Models via Conversation Understanding,
    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, ,
    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,
    Preprints | 2023
    Joshi A; Rawat S; Dange A, 2023, Evaluation of large language models using an Indian language LGBTI+ lexicon,
    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,
    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,
    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,
    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,
    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, '鈥淲hen numbers matter!鈥: 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,
    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,
    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,
    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,
    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,
    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,
    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,
    Preprints | 2019
    Joshi A; Karimi S; Sparks R; Paris C; MacIntyre CR, 2019, Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective,
    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,
    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, - ,
    Preprints | 2018
    Kamble S; Joshi A, 2018, Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models,
    Preprints | 2017
    Joshi A; Agrawal S; Bhattacharyya P; Carman M, 2017, Expect the unexpected: Harnessing Sentence Completion for Sarcasm Detection,
    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,
    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,
    Preprints | 2016
    Joshi A; Goel P; Bhattacharyya P; Carman M, 2016, Automatic Identification of Sarcasm Target: An Introductory Approach,
    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,
    Preprints | 2016
    Joshi A; Mishra A; Balamurali AR; Bhattacharyya P; Carman M, 2016, A Computational Approach to Automatic Prediction of Drunk Texting,
    Conference Papers | 2016
    Joshi A; Tripathi V; Bhattacharyya P; Carman M, 2016, 'Harnessing sequence labeling for sarcasm detection in dialogue from TV series 鈥楩riends鈥', in CoNLL 2016 - 20th SIGNLL Conference on Computational Natural Language Learning, Proceedings, pp. 146 - 155,
    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,
    Preprints | 2016
    Joshi A; Tripathi V; Patel K; Bhattacharyya P; Carman M, 2016, Are Word Embedding-based Features Useful for Sarcasm Detection?,
    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,
    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,
    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,
    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 Funding organisation Name of Funding program Co-PIs Amount
User-centred design and testing of a conversational Artificial Intelligence (AI) chatbot to address language barriers in Emergency Department Triage NHMRC NHMRC Ideas Dr. Padmanesan Narasimhan (麻豆社madou) 980K AUD
A benchmark for sentiment and sarcasm classification for dialects of English (Lead CI) Google Research Google exploreCSR Dr. Diptesh Kanojia (Uni of Surrey, UK) 92K AUD
Fake news detection in the context of national security policy (Lead CI) 麻豆社madou Global Global Research and Innovation Program (GRIP) Profs. Sanjay Jha, Salil Kanhere (麻豆社madou) 20K AUD
LGBTI+ inclusion in AI听(Lead CI) Google Research Google exploreCSR Dr. Ben Hutchinson (Google) 51K AUD

听

Publications:

  • 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听from IITB-Monash Research Academy consecutively in 2015 and 2014.

Presentations:

  • 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听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:

  • 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.

听

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.

听

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)
  • 听`', AACL, Suzhou, China, December 2020. (Co-speaker: Sarvnaz Karimi)
  • `NLP for Healthcare in the Absence of a Healthcare Dataset',听 ALTA, Sydney, Australia, December 2019. (Co-speaker: Sarvnaz Karimi)
  • `', presented at \textbf{EMNLP} 2017, Copenhagen, Denmark, September 2017. (Co-speaker: 听Pushpak Bhattacharyya)听

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.
  • `' at the `Queer in AI' social at NAACL, 2021.
  • 听`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.
  • `', TEDx talk at TEDxSomaiyaVidyavihar, an independently organised TEDx event, Mumbai, India, 2018.听
  • `', invited speaker at WASSA workshop at EMNLP 2017, Copenhagen, Denmark, 2017.

Posters:

  • `Computational Sarcasm', Google NLP Summit organized by Google Zurich, September 2017.听
  • 听`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.
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Panel Discussions:

  • Panelist in a discussion on `' 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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