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- A survey of classification tasks and approaches for legal contracts
- A survey of classification tasks and approaches for legal contracts
- RACCOON: A Retrieval-Augmented Generation Approach for Location Coordinate Capture from News Articles
- RACCOON: A Retrieval-Augmented Generation Approach for Location Coordinate Capture from News Articles
- Graph theory based mathematical methods for improved explainable AI
- Graph theory based mathematical methods for improved explainable AI
- Mathematics driven methods with fractional calculus and topological data analysis in image segmentation
- Mathematics driven methods with fractional calculus and topological data analysis in image segmentation
- Natural Language Processing for Dialects of a Language: A Survey
- Natural Language Processing for Dialects of a Language: A Survey
- Evaluating Dialect Robustness of Language Models via Conversation Understanding
- Evaluating Dialect Robustness of Language Models via Conversation Understanding
- Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English
- Comparison of Multilingual and Bilingual Models for Satirical News Detection of Arabic and English
- \"Is Hate Lost in Translation?\": Evaluation of Multilingual LGBTQIA+ Hate Speech Detection
- \"Is Hate Lost in Translation?\": Evaluation of Multilingual LGBTQIA+ Hate Speech Detection
- AuditNet: A Conversational AI-based Security Assistant
- AuditNet: A Conversational AI-based Security Assistant
- BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pretraining of BabyLM
- BAMBINO-LM: (Bilingual-)Human-Inspired Continual Pretraining of BabyLM
- Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy
- Striking a Balance between Classical and Deep Learning Approaches in Natural Language Processing Pedagogy
- Medical Document Classification using NLP Techniques
- Medical Document Classification using NLP Techniques
- Supervised Machine Learning Approaches for Customer Reviews Sentiment Analysis
- Supervised Machine Learning Approaches for Customer Reviews Sentiment Analysis
- Twitter Trolling Detection Using Machine Learning
- Twitter Trolling Detection Using Machine Learning
- Stacking the Odds: Transformer-Based Ensemble for AI-Generated Text Detection
- Stacking the Odds: Transformer-Based Ensemble for AI-Generated Text Detection
- Queer In AI: A Case Study in Community-Led Participatory AI
- Queer In AI: A Case Study in Community-Led Participatory AI
- Applications and challenges of SA in real-life scenarios
- Applications and challenges of SA in real-life scenarios
- Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering
- Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering
- IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English
- IISERB Brains at SemEval-2022 Task 6: A Deep-learning Framework to Identify Intended Sarcasm in English
- Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks
- Striking a Balance: Alleviating Inconsistency in Pre-trained Models for Symmetric Classification Tasks
- “When numbers matter!”: Detecting sarcasm in numerical portions of text
- “When numbers matter!”: Detecting sarcasm in numerical portions of text
- A dynamic deep trust prediction approach for online social networks
- A dynamic deep trust prediction approach for online social networks
- Monitoring events with application to syndromic surveillance using social media data
- Monitoring events with application to syndromic surveillance using social media data
- Leveraging Sentiment Distributions to Distinguish Figurative from Literal Health Reports on Twitter
- Leveraging Sentiment Distributions to Distinguish Figurative from Literal Health Reports on Twitter
- 'Watch the flu': A tweet monitoring tool for epidemic intelligence of influenza in australia
- 'Watch the flu': A tweet monitoring tool for epidemic intelligence of influenza in australia
- A Survey on Trust Prediction in Online Social Networks
- A Survey on Trust Prediction in Online Social Networks
- An approach to monitoring time between events when events are frequent
- An approach to monitoring time between events when events are frequent
- Automated monitoring of tweets for early detection of the 2014 Ebola epidemic
- Automated monitoring of tweets for early detection of the 2014 Ebola epidemic
- Comments on the three-zone approach for social media monitoring
- Comments on the three-zone approach for social media monitoring
- Enhancing neural sentiment analysis with aspect weights
- Enhancing neural sentiment analysis with aspect weights
- Figurative usage detection of symptom words to improve personal health mention detection
- Figurative usage detection of symptom words to improve personal health mention detection
- Harnessing Tweets for Early Detection of an Acute Disease Event
- Harnessing Tweets for Early Detection of an Acute Disease Event
- Recommendation chart of domains for cross-domain sentiment analysis: Findings of A 20 domain study
- Recommendation chart of domains for cross-domain sentiment analysis: Findings of A 20 domain study
- DCAT: A Deep Context-Aware Trust Prediction Approach for Online Social Networks
- DCAT: A Deep Context-Aware Trust Prediction Approach for Online Social Networks
- A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics
- A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics
- Deep models for converting sarcastic utterances into their non sarcastic interpretation
- Deep models for converting sarcastic utterances into their non sarcastic interpretation
- Does Multi-Task Learning Always Help? An Evaluation on Health Informatics Tasks
- Does Multi-Task Learning Always Help? An Evaluation on Health Informatics Tasks
- Overview of the 2019 ALTA Shared Task: Sarcasm Target Identification
- Overview of the 2019 ALTA Shared Task: Sarcasm Target Identification
- Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation
- Red-faced ROUGE: Examining the Suitability of ROUGE for Opinion Summary Evaluation
- Automatic sarcasm detection: A survey
- Automatic sarcasm detection: A survey
- Conclusion and future work
- Conclusion and future work
- Expect the Unexpected: Harnessing Sentence Completion for Sarcasm Detection
- Expect the Unexpected: Harnessing Sentence Completion for Sarcasm Detection
- Introduction
- Introduction
- Investigations in computational sarcasm
- Investigations in computational sarcasm
- Sarcasm detection using contextual incongruity
- Sarcasm detection using contextual incongruity
- Sarcasm detection using incongruity within target text
- Sarcasm detection using incongruity within target text
- Sarcasm generation
- Sarcasm generation
- Sarcasm target identification: Dataset and an introductory approach
- Sarcasm target identification: Dataset and an introductory approach
- Understanding the phenomenon of sarcasm
- Understanding the phenomenon of sarcasm
- Detecting sarcasm using different forms of incongruity
- Detecting sarcasm using different forms of incongruity
- Sarcasm suite: A browser-based engine for sarcasm detection and generation
- Sarcasm suite: A browser-based engine for sarcasm detection and generation
- Are Word Embedding-based Features Useful for Sarcasm Detection?
- Are Word Embedding-based Features Useful for Sarcasm Detection?
- A Framework that Uses the Web for Named Entity Class Identification: Case Study for Indian Classical Music Forums
- A Framework that Uses the Web for Named Entity Class Identification: Case Study for Indian Classical Music Forums
- EmoGram: An open-source time sequence-based emotion tracker and its innovative applications
- EmoGram: An open-source time sequence-based emotion tracker and its innovative applications
- Harnessing sequence labeling for sarcasm detection in dialogue from TV series ‘Friends’
- Harnessing sequence labeling for sarcasm detection in dialogue from TV series ‘Friends’
- How challenging is sarcasm versus irony classification?: An analysis from human and computational perspectives
- How challenging is sarcasm versus irony classification?: An analysis from human and computational perspectives
- How do cultural differences impact the quality of sarcasm annotation?: A case study of Indian annotators and American text
- How do cultural differences impact the quality of sarcasm annotation?: A case study of Indian annotators and American text
- Political issue extraction model: A novel hierarchical topic model that uses tweets by political and non-political authors
- Political issue extraction model: A novel hierarchical topic model that uses tweets by political and non-political authors
- That'll do Fine!: A coarse lexical resource for English-Hindi MT, using polylingual topic models
- That'll do Fine!: A coarse lexical resource for English-Hindi MT, using polylingual topic models
- A computational approach to automatic prediction of drunk-texting
- A computational approach to automatic prediction of drunk-texting
- Harnessing context incongruity for sarcasm detection
- Harnessing context incongruity for sarcasm detection
- Your sentiment precedes you: Using an author's historical tweets to predict sarcasm
- Your sentiment precedes you: Using an author's historical tweets to predict sarcasm
- A cognitive study of subjectivity extraction in sentiment annotation
- A cognitive study of subjectivity extraction in sentiment annotation
- Measuring Sentiment Annotation Complexity of text
- Measuring Sentiment Annotation Complexity of text
- Making Headlines in Hindi: Automatic English to Hindi News Headline Translation
- Making Headlines in Hindi: Automatic English to Hindi News Headline Translation
- Cost and benefit of using wordnet senses for sentiment analysis
- Cost and benefit of using wordnet senses for sentiment analysis
- C-Feel-It: A sentiment analyzer for micro-blogs
- C-Feel-It: A sentiment analyzer for micro-blogs
- Harnessing WordNet senses for supervised sentiment classification
- Harnessing WordNet senses for supervised sentiment classification
- Robust Sense-Based Sentiment Classification
- Robust Sense-Based Sentiment Classification
- Towards Behavior Grammar-Driven IoT Network Traffic Generation using MUD Specifications
- Spectraformer: A Unified Random Feature Framework for Transformer
- Nek Minit: Harnessing Pragmatic Metacognitive Prompting for Explainable Sarcasm Detection of Australian and Indian English
- A Survey on Multimodal Music Emotion Recognition
- BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English
- Experiences from Creating a Benchmark for Sentiment Classification for Varieties of English
- Connecting Ideas in 'Lower-Resource' Scenarios: NLP for National Varieties, Creoles and Other Low-resource Scenarios
- Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models
- AuditNet: A Conversational AI-based Security Assistant [DEMO]
- Submission to the Australian Human Rights Commission: Current and emerging threats to trans and gender diverse human rights
- Overview of the 2023 ICON Shared Task on Gendered Abuse Detection in Indic Languages
- Natural Language Processing
- Evaluation of large language models using an Indian language LGBTI+ lexicon
- Relation Extraction from News Articles (RENA): A Tool for Epidemic Surveillance
- Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective
- Hate Speech Detection from Code-mixed Hindi-English Tweets Using Deep Learning Models
- Shot Or Not: Comparison of NLP Approaches for Vaccination Behaviour Detection
- `Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection
- A Computational Approach to Automatic Prediction of Drunk Texting
- Automatic Identification of Sarcasm Target: An Introductory Approach