Aditya Joshi

Orcid: 0000-0003-2200-9703

According to our database1, Aditya Joshi authored at least 79 papers between 2010 and 2024.

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Bibliography

2024
Natural Language Processing for Dialects of a Language: A Survey.
CoRR, 2024

Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages.
CoRR, 2024

2023
Survey on AI and Machine Learning Techniques for Microgrid Energy Management Systems.
IEEE CAA J. Autom. Sinica, 2023

Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance.
CoRR, 2023

Evaluation of large language models using an Indian language LGBTI+ lexicon.
CoRR, 2023

Queer In AI: A Case Study in Community-Led Participatory AI.
CoRR, 2023

Applications and Challenges of Sentiment Analysis in Real-life Scenarios.
CoRR, 2023

Smart Contract Test Case Prioritization based on Frequency and Gas Consumption.
Proceedings of the 23rd IEEE International Conference on Software Quality, 2023

Weighted Hierarchical Consensus based Economic Dispatch Utilizing Cluster Size Estimation for Networked Microgrids.
Proceedings of the 49th Annual Conference of the IEEE Industrial Electronics Society, 2023

Remotely Controlled Electronic Noticeboard Using NodeMCU.
Proceedings of the 14th International Conference on Computing Communication and Networking Technologies, 2023


Student Perception of Social Comparison in Technology Enhanced Learning.
Proceedings of the Responsive and Sustainable Educational Futures, 2023

Mining User Behavior in Decentralized Applications for Blockchain Trust and Security Analytics.
Proceedings of the Fifth International Conference on Blockchain Computing and Applications, 2023

Stacking the Odds: Transformer-Based Ensemble for AI-Generated Text Detection.
Proceedings of the 21st Annual Workshop of the Australasian Language Technology Association, 2023

2022
On the chromatic index of generalized truncations.
Ars Math. Contemp., 2022

IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering.
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Supporting student motivation through Social Comparison.
Proceedings of the Doctoral Consortium of the 17th European Conference on Technology Enhanced Learning co-located with the 17th European Conference on Technology Enhanced Learning (EC-TEL 2022), 2022

Facial expression recognition using DenseNet.
Proceedings of the OITS International Conference on Information Technology, 2022

Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Modeling Personality Effect in Trust Prediction.
J. Data Intell., 2021

2020
Survey of Text-based Epidemic Intelligence: A Computational Linguistics Perspective.
ACM Comput. Surv., 2020

A Survey on Trust Prediction in Online Social Networks.
IEEE Access, 2020

Leveraging Sentiment Distributions to Distinguish Figurative From Literal Health Reports on Twitter.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

A dynamic deep trust prediction approach for online social networks.
Proceedings of the MoMM '20: The 18th International Conference on Advances in Mobile Computing and Multimedia, Chiang Mai, Thailand, November 30, 2020

Recommendation Chart of Domains for Cross-Domain Sentiment Analysis: Findings of A 20 Domain Study.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Scalability in Perception for Autonomous Driving: Waymo Open Dataset.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Enhancing Neural Sentiment Analysis with Aspect Weights.
Proceedings of the CoDS-COMAD 2020: 7th ACM IKDD CoDS and 25th COMAD, 2020

'Watch the Flu': A Tweet Monitoring Tool for Epidemic Intelligence of Influenza in Australia.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective.
CoRR, 2019

"When Numbers Matter!": Detecting Sarcasm in Numerical Portions of Text.
Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, 2019

DCAT: A Deep Context-Aware Trust Prediction Approach for Online Social Networks.
Proceedings of the MoMM 2019: The 17th International Conference on Advances in Mobile Computing & Multimedia, 2019

Deep Models for Converting Sarcastic Utterances into their Non Sarcastic Interpretation.
Proceedings of the ACM India Joint International Conference on Data Science and Management of Data, 2019

A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics.
Proceedings of the 18th BioNLP Workshop and Shared Task, 2019

Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation.
Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association, 2019

Overview of the 2019 ALTA Shared Task: Sarcasm Target Identification.
Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association, 2019

Does Multi-Task Learning Always Help?: An Evaluation on Health Informatics.
Proceedings of the The 17th Annual Workshop of the Australasian Language Technology Association, 2019

2018
Investigations in Computational Sarcasm
Cognitive Systems Monographs 37, Springer, ISBN: 978-981-10-8395-2, 2018

Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection.
Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop & Shared Task, 2018

Sarcasm Target Identification: Dataset and An Introductory Approach.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

'I Understand What You Asked': Question Interpreter for an AI-Based Business Analyst.
Proceedings of the Intelligent Systems and Applications, 2018

Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models.
Proceedings of the 15th International Conference on Natural Language Processing, 2018

2017
Automatic Sarcasm Detection: A Survey.
ACM Comput. Surv., 2017

Detecting Sarcasm Using Different Forms Of Incongruity.
Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, 2017

Expect the Unexpected: Harnessing Sentence Completion for Sarcasm Detection.
Proceedings of the Computational Linguistics, 2017

Sarcasm Suite: A Browser-Based Engine for Sarcasm Detection and Generation.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
In-vivo quantitative analysis of the angiogenic microvasculature in tumor-bearing rats using multiple scattering.
Proc. Meet. Acoust., 2016

A Framework that Uses the Web for Named Entity Class Identification: Case Study for Indian Classical Music Forums.
Computación y Sistemas, 2016

'Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection.
CoRR, 2016

Automatic Identification of Sarcasm Target: An Introductory Approach.
CoRR, 2016

Political Issue Extraction Model: A Novel Hierarchical Topic Model That Uses Tweets By Political And Non-Political Authors.
Proceedings of the 7th Workshop on Computational Approaches to Subjectivity, 2016

Language Geometry Using Random Indexing.
Proceedings of the Quantum Interaction - 10th International Conference, 2016

That'll Do Fine!: A Coarse Lexical Resource for English-Hindi MT, Using Polylingual Topic Models.
Proceedings of the Tenth International Conference on Language Resources and Evaluation LREC 2016, 2016

How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American Text.
Proceedings of the 10th SIGHUM Workshop on Language Technology for Cultural Heritage, 2016

Are Word Embedding-based Features Useful for Sarcasm Detection?
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series 'Friends'.
Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning, 2016

Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text.
Proceedings of the COLING 2016, 2016

How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature.
Proceedings of the Australasian Language Technology Association Workshop 2016, Melbourne, Australia, December 5, 2016

EmoGram: An Open-Source Time Sequence-Based Emotion Tracker and Its Innovative Applications.
Proceedings of the Knowledge Extraction from Text, 2016

2015
Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm.
Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, 2015

SIEL: Aspect Based Sentiment Analysis in Reviews.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Sentibase: Sentiment Analysis in Twitter on a Budget.
Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

Using Multilingual Topic Models for Improved Alignment in English-Hindi MT.
Proceedings of the 12th International Conference on Natural Language Processing, 2015

A temporal expression recognition system for medical documents by.
Proceedings of the 12th International Conference on Natural Language Processing, 2015

Harnessing Context Incongruity for Sarcasm Detection.
Proceedings of the 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, 2015

A Computational Approach to Automatic Prediction of Drunk-Texting.
Proceedings of the 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, 2015

2014
Language Recognition using Random Indexing.
CoRR, 2014

A cognitive study of subjectivity extraction in sentiment annotation.
Proceedings of the 5th Workshop on Computational Approaches to Subjectivity, 2014

Exploiting Wikipedia Categorization for Predicting Age and Gender of Blog Authors.
Proceedings of the Posters, 2014

Measuring Sentiment Annotation Complexity of Text.
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, 2014

2013
Making Headlines in Hindi: Automatic English to Hindi News Headline Translation.
Proceedings of the Sixth International Joint Conference on Natural Language Processing, 2013

Cleaning up toxic waste: Removing nefarious contributions to recommendation systems.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Cost and Benefit of Using WordNet Senses for Sentiment Analysis.
Proceedings of the Eighth International Conference on Language Resources and Evaluation, 2012

Cross-Lingual Sentiment Analysis for Indian Languages using Linked WordNets.
Proceedings of the COLING 2012, 2012

2011
Robust Sense-based Sentiment Classification.
Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis, 2011

Harnessing WordNet Senses for Supervised Sentiment Classification.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

C-Feel-It: A Sentiment Analyzer for Micro-blogs.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

2010
Firewall modules and modular firewalls.
Proceedings of the 18th annual IEEE International Conference on Network Protocols, 2010


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