By Dr Aditya Joshi

Conference Papers

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Joshi A; Dai X; Karimi S; Sparks R; Paris C; MacIntyre CR, 2018, 'Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection', Association for Computational Linguistics (ACL), 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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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 Abstracts

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

Reports

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

Srirag D; Zhao H; Kumar A; Hopper E; Dalton M; Nguyen QD; Joshi A; Kanhere SS; Narasimhan P, 2026, LLMs Anchor on Chief Complaint and Fail to Integrate Evidence in Sequential Clinical Triage, https://arxiv.org/abs/2609.22904v2

Painter J; Srirag D; Kappiyath A; Kanojia D; Joshi A; Yin L, 2026, DiaLLM: An Investigation into the Robustness-Generation Gap in English Dialect Adaptation, http://dx.doi.org/10.48550/arxiv.2607.07669

Liyanarachchi R; Tran F; Hasan MM; Joshi A; Meijering E, 2026, A Hybrid Framework for Song Lyric Annotation Based on Human-LLM Alignment, https://arxiv.org/abs/2606.29273v1

Liu DY; Muston X; Srirag D; Joshi A; Sequoiah-Grayson S, 2026, Retell, Reward, Repeat: Reinforcement Learning for Narrative Theory-Informed Story Retelling, http://dx.doi.org/10.48550/arxiv.2601.17226

Singh A; Joshi A; Jiang J; Paik H-Y; Cheong MF, 2026, LAUKIN: A Multi-jurisdictional Common Law Contract Dataset, http://dx.doi.org/10.48550/arxiv.2606.13184

Liyanarachchi R; Mackay R; Short A; Joshi A; Meijering E, 2026, Paediatric-HGNN: A Hybrid Heterogeneous Graph Neural Network for Detecting Disfluency in Children's Speech via Multiscale Acoustic Fusion, https://arxiv.org/abs/2606.08210v1

Bodhankar A; Joshi A; Doan BG; Marchant T; Leslie O; Salim F, 2026, Didact: A Cross-Domain Capability Discovery System for Defence, http://dx.doi.org/10.48550/arxiv.2606.06942

Markasserithodi R; Joshi A; Li Y; Singh I; Yoo C; Niu A, 2026, CHASE: Adversarial Red-Blue Teaming for Improving LLM Safety using Reinforcement Learning, https://arxiv.org/abs/2606.05523v1

Doan BG; Joshi A; Elinas P; Bodhankar A; Leslie O; Marchant T; Salim F, 2026, A Benchmark Construction and Evaluation Framework for Specialist Domains: Case Study on Defense-related Documents, http://dx.doi.org/10.48550/arxiv.2604.17943

Jin S; Srirag D; Joshi A, 2026, PAREDA: A Multi-Accent Speech Dataset of Natural Language Processing Research Discussions, http://dx.doi.org/10.48550/arxiv.2605.17860

Dilsiz DK; Srirag D; Joshi A, 2026, Far Out: Evaluating Language Models on Slang in Australian and Indian English, http://dx.doi.org/10.48550/arxiv.2602.15373

Shetty A; Joshi A; Kanhere SS, 2026, In Vino Veritas and Vulnerabilities: Examining LLM Safety via Drunk Language Inducement, http://dx.doi.org/10.48550/arxiv.2601.22169

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