By Dr Aditya Joshi

Conference Papers

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; 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

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; 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

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

Singh I; Srirag D; Joshi A, 2025, Nek Minit: Harnessing Pragmatic Metacognitive Prompting for Explainable Sarcasm Detection of Australian and Indian English, http://arxiv.org/abs/2505.15095v1

Liyanarachchi R; Joshi A; Meijering E, 2025, A Survey on Multimodal Music Emotion Recognition, http://arxiv.org/abs/2504.18799v1

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

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

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

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

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

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

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

Deldari S; Goudarzi M; Joshi A; Shaghaghi A; Finn S; Salim FD; Jha S, 2024, AuditNet: A Conversational AI-based Security Assistant [DEMO], http://arxiv.org/abs/2407.14116v1

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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