text classification

Exploring the Challenges of Behaviour Change Language Classification: A Study on Semi-Supervised Learning and the Impact of Pseudo-Labelled Data COLING 2024 Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data NAACL 2024 Exploring the Suitability of Transformer Models to Analyse Mental Health Peer Support Forum Data for a Realist Evaluation COLING 2024 Exploring the Trade-off Between Model Performance and Explanation Plausibility of Text Classifiers Using Human Rationales NAACL 2024 Exploring the Usability of Persuasion Techniques for Downstream Misinformation-related Classification Tasks COLING 2024 Exposing propaganda: an analysis of stylistic cues comparing human annotations and machine classification EACL 2024 Extracting Relations from Ecclesiastical Cultural Heritage Texts EMNLP 2024 Extreme Fine-tuning: A Novel and Fast Fine-tuning Approach for Text Classification EACL 2024 Extremely Weakly-supervised Text Classification with Wordsets Mining and Sync-Denoising NAACL 2024 FAIR: Filtering of Automatically Induced Rules EACL 2024 Fairness-Aware Online Positive-Unlabeled Learning EMNLP 2024 Fairness in Automated Essay Scoring: A Comparative Analysis of Algorithms on German Learner Essays from Secondary Education NAACL 2024 Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature ICLR 2024 FastSpell: The LangId Magic Spell COLING 2024 Fida @DravidianLangTech 2024: A Novel Approach to Hate Speech Detection Using Distilbert-base-multilingual-cased EACL 2024 Fill In The Gaps: Model Calibration and Generalization with Synthetic Data EMNLP 2024 Findings of the First Shared Task on Offensive Span Identification from Code-Mixed Kannada-English Comments EACL 2024 Findings of the Shared Task on Hate and Offensive Language Detection in Telugu Codemixed Text (HOLD-Telugu)@DravidianLangTech 2024 EACL 2024 Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates EMNLP 2024 Fine-tuning after Prompting: an Explainable Way for Classification ACL 2024 Fine-tuning Language Models for Predicting the Impact of Events Associated to Financial News Articles COLING 2024 Fine-Tuning Language Models on Dutch Protest Event Tweets EACL 2024 Flee the Flaw: Annotating the Underlying Logic of Fallacious Arguments Through Templates and Slot-filling EMNLP 2024 Fooling the Textual Fooler via Randomizing Latent Representations ACL 2024 FoRC4CL: A Fine-grained Field of Research Classification and Annotated Dataset of NLP Articles COLING 2024