Aditya Joshi

Orcid: 0000-0003-2200-9703

Affiliations:
  • University of New South Wales (UNSW), Kensington, Sydney, NSW, Australia


According to our database1, Aditya Joshi authored at least 64 papers between 2011 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
A survey of classification tasks and approaches for legal contracts.
Artif. Intell. Rev., December, 2025

Alternatives To Next Token Prediction In Text Generation - A Survey.
CoRR, September, 2025

LLMs for Law: Evaluating Legal-Specific LLMs on Contract Understanding.
CoRR, August, 2025

What am I missing here?: Evaluating Large Language Models for Masked Sentence Prediction.
CoRR, August, 2025

Natural Language Processing for Dialects of a Language: A Survey.
ACM Comput. Surv., June, 2025

Harnessing Test-time Adaptation for NLU tasks Involving Dialects of English.
CoRR, March, 2025

RACCOON: A Retrieval-Augmented Generation Approach for Location Coordinate Capture from News Articles.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

2024
AuditNet: A Conversational AI-based Security Assistant [DEMO].
CoRR, 2024

Spectraformer: A Unified Random Feature Framework for Transformer.
CoRR, 2024

On the relevance of pre-neural approaches in natural language processing pedagogy.
CoRR, 2024

AuditNet: Conversational AI Security Assistant.
Proceedings of the Adjunct Proceedings of the 26th International Conference on Mobile Human-Computer Interaction, 2024

Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English.
Proceedings of the 22nd Annual Workshop of the Australasian Language Technology Association, 2024

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

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


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

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

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

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

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
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

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

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

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

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


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