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ORCIDAditya Joshi 0001
Person information
- affiliation: University of New South Wales (UNSW), Kensington, Sydney, NSW, Australia
Other persons with the same name
- Aditya Joshi — disambiguation page
- Aditya Joshi 0002
![[0000-0002-2597-8123]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2597-8123")
— Graphic Era Deemed to Be University, Dehradun, Uttarakhand, India - Aditya Joshi 0003 — North Carolina State University, Raleigh, NC, USA
- Aditya Joshi 0004 — North Carolina State University, Raleigh, NC, USA
- Aditya Joshi 0005 — Trinity College of Engineering and Research, Pune, India
- Aditya Joshi 0006 — Utrecht University, Utrecht, The Netherlands
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2020 – today
- 2025
[j7]Amrita Singh, Aditya Joshi, Jiaojiao Jiang, Hye-young Paik:
A survey of classification tasks and approaches for legal contracts. Artif. Intell. Rev. 58(12): 380 (2025)- [j6]Aditya Joshi, Raj Dabre, Diptesh Kanojia, Zhuang Li, Haolan Zhan, Gholamreza Haffari, Doris Dippold:
Natural Language Processing for Dialects of a Language: A Survey. ACM Comput. Surv. 57(6): 149:1-149:37 (2025) - [c44]Jonathan Lin, Aditya Joshi, Hye-young Paik, Tri Dung Doung, Deepti Gurdasani:
RACCOON: A Retrieval-Augmented Generation Approach for Location Coordinate Capture from News Articles. WWW (Companion Volume) 2025: 1123-1127 - [i24]Jonathan Lin, Aditya Joshi, Hye-young Paik, Tri Dung Doung, Deepti Gurdasani:
RACCOON: A Retrieval-Augmented Generation Approach for Location Coordinate Capture from News Articles. CoRR abs/2501.11440 (2025) - [i23]Duke Nguyen, Aditya Joshi, Flora D. Salim:
Harnessing Test-time Adaptation for NLU tasks Involving Dialects of English. CoRR abs/2503.12858 (2025) - [i22]Amrita Singh, Aditya Joshi, Jiaojiao Jiang, Hye-young Paik:
A Survey of Classification Tasks and Approaches for Legal Contracts. CoRR abs/2507.21108 (2025) - [i21]Charlie Wyatt, Aditya Joshi, Flora Salim:
What am I missing here?: Evaluating Large Language Models for Masked Sentence Prediction. CoRR abs/2508.07702 (2025) - [i20]Amrita Singh, H. Suhan Karaca, Aditya Joshi, Hye-young Paik, Jiaojiao Jiang:
LLMs for Law: Evaluating Legal-Specific LLMs on Contract Understanding. CoRR abs/2508.07849 (2025) - [i19]Charlie Wyatt, Aditya Joshi, Flora Salim:
Alternatives To Next Token Prediction In Text Generation - A Survey. CoRR abs/2509.24435 (2025) - 2024
- [c43]Omar W. Abdalla, Aditya Joshi, Rahat Masood, Salil S. Kanhere:
Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English. ALTA 2024: 173-178 - [c42]Shohreh Deldari, Mohammad Goudarzi, Aditya Joshi, Arash Shaghaghi, Simon Finn, Flora D. Salim, Sanjay Jha:
AuditNet: Conversational AI Security Assistant. MobileHCI (Companion) 2024: 22:1-22:4 - [i18]Aditya Joshi, Raj Dabre, Diptesh Kanojia, Zhuang Li, Haolan Zhan, Gholamreza Haffari, Doris Dippold:
Natural Language Processing for Dialects of a Language: A Survey. CoRR abs/2401.05632 (2024) - [i17]Aditya Joshi, Jake Renzella, Pushpak Bhattacharyya, Saurav Jha, Xiangyu Zhang:
On the relevance of pre-neural approaches in natural language processing pedagogy. CoRR abs/2405.09854 (2024) - [i16]Duke Nguyen, Aditya Joshi, Flora D. Salim:
Spectraformer: A Unified Random Feature Framework for Transformer. CoRR abs/2405.15310 (2024) - [i15]Shohreh Deldari, Mohammad Goudarzi, Aditya Joshi, Arash Shaghaghi, Simon Finn, Flora D. Salim, Sanjay Jha:
AuditNet: A Conversational AI-based Security Assistant [DEMO]. CoRR abs/2407.14116 (2024) - [i14]Omar W. Abdalla, Aditya Joshi, Rahat Masood, Salil S. Kanhere:
Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English. CoRR abs/2411.10730 (2024) - 2023
- [c41]Organizers Of QueerInAI, Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. FAccT 2023: 1882-1895 - [i13]Anaelia Ovalle, Arjun Subramonian, Ashwin Singh, Claas Voelcker, Danica J. Sutherland, Davide Locatelli, Eva Breznik, Filip Klubicka, Hang Yuan, Hetvi Jethwani, Huan Zhang, Jaidev Shriram, Kruno Lehman, Luca Soldaini, Maarten Sap, Marc Peter Deisenroth, Maria Leonor Pacheco, Maria Ryskina, Martin Mundt, Milind Agarwal, Nyx McLean, Pan Xu, A Pranav, Raj Korpan, Ruchira Ray, Sarah Mathew, Sarthak Arora, St John, Tanvi Anand, Vishakha Agrawal, William Agnew, Yanan Long, Zijie J. Wang, Zeerak Talat, Avijit Ghosh, Nathaniel Dennler, Michael Noseworthy, Sharvani Jha, Emi Baylor, Aditya Joshi, Natalia Y. Bilenko, Andrew McNamara, Raphael Gontijo Lopes, Alex Markham, Evyn Dong, Jackie Kay, Manu Saraswat, Nikhil Vytla, Luke Stark:
Queer In AI: A Case Study in Community-Led Participatory AI. CoRR abs/2303.16972 (2023) - [i12]Jaeff Hong, Duong Dung, Danielle Hutchinson, Zubair Akhtar, Rosalie Chen, Rebecca Dawson, Aditya Joshi, Samsung Lim, C. Raina MacIntyre, Deepti Gurdasani:
Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance. CoRR abs/2311.01472 (2023) - 2022
- [c40]Ashutosh Kumar, Aditya Joshi:
Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks. ACL (Findings) 2022: 1887-1895 - [c39]Aditya Joshi, Chin Lin Wong, Diego Marinho de Oliveira, Farhad Zafari, Fernando Mourão, Sabir Ribas, Saumya Pandey:
Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering. RecSys 2022: 531-533 - [c38]Tanuj Singh Shekhawat, Manoj Kumar, Udaybhan Rathore, Aditya Joshi, Jasabanta Patro:
IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English. SemEval@NAACL 2022: 938-944 - [i11]Tanuj Singh Shekhawat, Manoj Kumar, Udaybhan Rathore, Aditya Joshi, Jasabanta Patro:
IISERB Brains at SemEval 2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English. CoRR abs/2203.02244 (2022) - 2021
- [j5]Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Cécile Paris, Shahpar Yakhchi, Mehmet A. Orgun, Alireza Jolfaei, Quan Z. Sheng:
Modeling Personality Effect in Trust Prediction. J. Data Intell. 2(4): 401-417 (2021) - 2020
- [j4]Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Cécile Paris, Adnan Mahmood, Shahpar Yakhchi, Mehmet A. Orgun:
A Survey on Trust Prediction in Online Social Networks. IEEE Access 8: 144292-144309 (2020) - [j3]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Survey of Text-based Epidemic Intelligence: A Computational Linguistics Perspective. ACM Comput. Surv. 52(6): 119:1-119:19 (2020) - [c37]Brian Jin, Aditya Joshi, Ross Sparks, Stephen Wan, Cécile Paris, C. Raina MacIntyre:
'Watch the Flu': A Tweet Monitoring Tool for Epidemic Intelligence of Influenza in Australia. AAAI 2020: 13616-13617 - [c36]Urmi Saha, Abhijeet Dubey, Aditya Joshi, Pushpak Bhattachharyya:
Enhancing Neural Sentiment Analysis with Aspect Weights. COMAD/CODS 2020: 332-333 - [c35]Akash Sheoran, Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya:
Recommendation Chart of Domains for Cross-Domain Sentiment Analysis: Findings of A 20 Domain Study. LREC 2020: 4982-4990 - [c34]Seyed Mohssen Ghafari, Amin Beheshti, Aditya Joshi, Cécile Paris, Shahpar Yakhchi, Alireza Jolfaei, Mehmet A. Orgun:
A dynamic deep trust prediction approach for online social networks. MoMM 2020: 11-19 - [c33]Rhys Biddle, Aditya Joshi, Shaowu Liu, Cécile Paris, Guandong Xu:
Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter. WWW 2020: 1217-1227 - [i10]Akash Sheoran, Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya:
Recommendation Chart of Domains for Cross-Domain Sentiment Analysis: Findings of A 20 Domain Study. CoRR abs/2004.04478 (2020)
2010 – 2019
- 2019
- [c32]Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris:
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection. ACL (1) 2019: 1142-1147 - [c31]Wenyi Tay, Aditya Joshi, Xiuzhen Zhang, Sarvnaz Karimi, Stephen Wan:
Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation. ALTA 2019: 52-60 - [c30]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics. ALTA 2019: 151-158 - [c29]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics. BioNLP@ACL 2019: 135-141 - [c28]Abhijeet Dubey, Aditya Joshi, Pushpak Bhattacharyya:
Deep Models for Converting Sarcastic Utterances into their Non Sarcastic Interpretation. COMAD/CODS 2019: 289-292 - [c27]Seyed Mohssen Ghafari, Aditya Joshi, Amin Beheshti, Cécile Paris, Shahpar Yakhchi, Mehmet A. Orgun:
DCAT: A Deep Context-Aware Trust Prediction Approach for Online Social Networks. MoMM 2019: 20-27 - [c26]Abhijeet Dubey, Lakshya Kumar, Arpan Somani, Aditya Joshi, Pushpak Bhattacharyya:
"When Numbers Matter!": Detecting Sarcasm in Numerical Portions of Text. WASSA@NAACL-HLT 2019: 72-80 - [i9]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective. CoRR abs/1903.05801 (2019) - [i8]Adith Iyer, Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris:
Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection. CoRR abs/1906.05466 (2019) - [i7]Aditya Joshi, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics. CoRR abs/1906.05468 (2019) - 2018
- [b1]Aditya Joshi, Pushpak Bhattacharyya, Mark J. Carman:
Investigations in Computational Sarcasm. Cognitive Systems Monographs 37, Springer 2018, ISBN 978-981-10-8395-2, pp. 1-135 - [c25]Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, Mark J. Carman:
Sarcasm Target Identification: Dataset and An Introductory Approach. LREC 2018 - [c24]Aditya Joshi, Xiang Dai, Sarvnaz Karimi, Ross Sparks, Cécile Paris, C. Raina MacIntyre:
Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection. SMM4H@EMNLP 2018: 43-47 - 2017
- [j2]Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
Automatic Sarcasm Detection: A Survey. ACM Comput. Surv. 50(5): 73:1-73:22 (2017) - [c23]Aditya Joshi, Diptesh Kanojia, Pushpak Bhattacharyya, Mark James Carman:
Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation. AAAI 2017: 5095-5096 - [c22]Aditya Joshi, Samarth Agrawal, Pushpak Bhattacharyya, Mark James Carman:
Expect the Unexpected: Harnessing Sentence Completion for Sarcasm Detection. PACLING 2017: 275-287 - [c21]Aditya Joshi:
Detecting Sarcasm Using Different Forms Of Incongruity. WASSA@EMNLP 2017: 1 - [i6]Aditya Joshi, Samarth Agrawal, Pushpak Bhattacharyya, Mark James Carman:
Expect the unexpected: Harnessing Sentence Completion for Sarcasm Detection. CoRR abs/1707.06151 (2017) - 2016
- [j1]Joe Cheri Ross, Aditya Joshi, Pushpak Bhattacharyya:
A Framework that Uses the Web for Named Entity Class Identification: Case Study for Indian Classical Music Forums. Computación y Sistemas 20(3): 505-513 (2016) - [c20]Aditya Joshi, Vaibhav Tripathi, Ravindra Soni, Pushpak Bhattacharyya, Mark James Carman:
EmoGram: An Open-Source Time Sequence-Based Emotion Tracker and Its Innovative Applications. AAAI Workshop: Knowledge Extraction from Text 2016 - [c19]Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, Mark James Carman, Meghna Singh, Jaya Saraswati, Rajita Shukla:
How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature. ALTA 2016: 123-127 - [c18]Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, Mark James Carman:
Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series 'Friends'. CoNLL 2016: 146-155 - [c17]Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, Mark James Carman:
Are Word Embedding-based Features Useful for Sarcasm Detection? EMNLP 2016: 1006-1011 - [c16]Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman, Jaya Saraswati, Rajita Shukla:
How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American Text. LaTeCH@ACL 2016 - [c15]Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
That'll Do Fine!: A Coarse Lexical Resource for English-Hindi MT, Using Polylingual Topic Models. LREC 2016 - [c14]Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors. WASSA@NAACL-HLT 2016: 82-90 - [i5]Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
Automatic Sarcasm Detection: A Survey. CoRR abs/1602.03426 (2016) - [i4]Aditya Joshi, Abhijit Mishra, Balamurali A. R., Pushpak Bhattacharyya, Mark James Carman:
A Computational Approach to Automatic Prediction of Drunk Texting. CoRR abs/1610.00879 (2016) - [i3]Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, Mark James Carman:
Are Word Embedding-based Features Useful for Sarcasm Detection? CoRR abs/1610.00883 (2016) - [i2]Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, Mark James Carman:
Automatic Identification of Sarcasm Target: An Introductory Approach. CoRR abs/1610.07091 (2016) - [i1]Aditya Joshi, Prayas Jain, Pushpak Bhattacharyya, Mark James Carman:
'Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection. CoRR abs/1611.04326 (2016) - 2015
- [c13]Aditya Joshi, Abhijit Mishra, Balamurali A. R., Pushpak Bhattacharyya, Mark James Carman:
A Computational Approach to Automatic Prediction of Drunk-Texting. ACL (2) 2015: 604-608 - [c12]Aditya Joshi, Vinita Sharma, Pushpak Bhattacharyya:
Harnessing Context Incongruity for Sarcasm Detection. ACL (2) 2015: 757-762 - [c11]Naman Gupta, Aditya Joshi, Pushpak Bhattacharyya:
A temporal expression recognition system for medical documents by. ICON 2015: 84-88 - [c10]Diptesh Kanojia, Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
Using Multilingual Topic Models for Improved Alignment in English-Hindi MT. ICON 2015: 308-315 - [c9]Anupam Khattri, Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman:
Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm. WASSA@EMNLP 2015: 25-30 - 2014
- [c8]Aditya Joshi, Abhijit Mishra, Nivvedan Senthamilselvan, Pushpak Bhattacharyya:
Measuring Sentiment Annotation Complexity of Text. ACL (2) 2014: 36-41 - [c7]Abhijit Mishra, Aditya Joshi, Pushpak Bhattacharyya:
A cognitive study of subjectivity extraction in sentiment annotation. WASSA@ACL 2014: 142-146 - 2013
- [c6]Aditya Joshi, Kashyap Popat, Shubham Gautam, Pushpak Bhattacharyya:
Making Headlines in Hindi: Automatic English to Hindi News Headline Translation. IJCNLP 2013: 21-24 - 2012
- [c5]Balamurali A. R., Aditya Joshi, Pushpak Bhattacharyya:
Cross-Lingual Sentiment Analysis for Indian Languages using Linked WordNets. COLING (Posters) 2012: 73-82 - [c4]Balamurali A. R., Aditya Joshi, Pushpak Bhattacharyya:
Cost and Benefit of Using WordNet Senses for Sentiment Analysis. LREC 2012: 3090-3097 - 2011
- [c3]Aditya Joshi, Balamurali A. R., Pushpak Bhattacharyya, Rajat Kumar Mohanty:
C-Feel-It: A Sentiment Analyzer for Micro-blogs. ACL (System Demonstrations) 2011: 127-132 - [c2]Balamurali A. R., Aditya Joshi, Pushpak Bhattacharyya:
Harnessing WordNet Senses for Supervised Sentiment Classification. EMNLP 2011: 1081-1091 - [c1]A. R. Balamurali, Aditya Joshi, Pushpak Bhattacharyya:
Robust Sense-based Sentiment Classification. WASSA@ACL 2011: 132-138
Coauthor Index
Mark J. Carman
aka: Mark James Carman
aka: Mark James Carman
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