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Text Classification

6,754 papers

Papers per year

Papers

SINAI at SemEval-2024 Task 8: Fine-tuning on Words and Perplexity as Features for Detecting Machine Written Text SEMEVAL 2024
USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings SEMEVAL 2024
Pollice Verso at SemEval-2024 Task 6: The Roman Empire Strikes Back SEMEVAL 2024
whatdoyoumeme at SemEval-2024 Task 4: Hierarchical-Label-Aware Persuasion Detection using Translated Texts SEMEVAL 2024
LomonosovMSU at SemEval-2024 Task 4: Comparing LLMs and embedder models to identifying propaganda techniques in the content of memes in English for subtasks No1, No2a, and No2b SEMEVAL 2024
TueCICL at SemEval-2024 Task 8: Resource-efficient approaches for machine-generated text detection SEMEVAL 2024
Weighted Layer Averaging RoBERTa for Black-Box Machine-Generated Text Detection SEMEVAL 2024
Mast Kalandar at SemEval-2024 Task 8: On the Trail of Textual Origins: RoBERTa-BiLSTM Approach to Detect AI-Generated Text SEMEVAL 2024
Team Bolaca at SemEval-2024 Task 6: Sentence-transformers are all you need SEMEVAL 2024
AIpom at SemEval-2024 Task 8: Detecting AI-produced Outputs in M4 SEMEVAL 2024
MALTO at SemEval-2024 Task 6: Leveraging Synthetic Data for LLM Hallucination Detection SEMEVAL 2024
Maha Bhaashya at SemEval-2024 Task 6: Zero-Shot Multi-task Hallucination Detection SEMEVAL 2024
Team art-nat-HHU at SemEval-2024 Task 8: Stylistically Informed Fusion Model for MGT-Detection SEMEVAL 2024
Team MGTD4ADL at SemEval-2024 Task 8: Leveraging (Sentence) Transformer Models with Contrastive Learning for Identifying Machine-Generated Text SEMEVAL 2024
HierarchyEverywhere at SemEval-2024 Task 4: Detection of Persuasion Techniques in Memes Using Hierarchical Text Classifier SEMEVAL 2024
IITK at SemEval-2024 Task 4: Hierarchical Embeddings for Detection of Persuasion Techniques in Memes SEMEVAL 2024
DeepPavlov at SemEval-2024 Task 8: Leveraging Transfer Learning for Detecting Boundaries of Machine-Generated Texts SEMEVAL 2024
ShefCDTeam at SemEval-2024 Task 4: A Text-to-Text Model for Multi-Label Classification SEMEVAL 2024
NLPNCHU at SemEval-2024 Task 4: A Comparison of MDHC Strategy and In-domain Pre-training for Multilingual Detection of Persuasion Techniques in Memes SEMEVAL 2024
Groningen Team F at SemEval-2024 Task 8: Detecting Machine-Generated Text using Feature-Based Machine Learning Models SEMEVAL 2024
Groningen Team A at SemEval-2024 Task 8: Human/Machine Authorship Attribution Using a Combination of Probabilistic and Linguistic Features SEMEVAL 2024
SemEval-2024 Task 6: SHROOM, a Shared-task on Hallucinations and Related Observable Overgeneration Mistakes SEMEVAL 2024
SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes SEMEVAL 2024
SemEval-2024 Task 5: Argument Reasoning in Civil Procedure SEMEVAL 2024
SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes SEMEVAL 2024