By Dr Aditya Joshi

Preprints

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/2409.00358v1

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/2405.05688v2

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/2401.05632v3

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

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

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

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

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

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