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Text Classification

6,754 papers

Papers per year

Papers

Fired_from_NLP at SemEval-2024 Task 1: Towards Developing Semantic Textual Relatedness Predictor - A Transformer-based Approach SEMEVAL 2024
SmurfCat at SemEval-2024 Task 6: Leveraging Synthetic Data for Hallucination Detection SEMEVAL 2024
GreyBox at SemEval-2024 Task 4: Progressive Fine-tuning (for Multilingual Detection of Propaganda Techniques) SEMEVAL 2024
TECHSSN at SemEval-2024 Task 1: Multilingual Analysis for Semantic Textual Relatedness using Boosted Transformer Models SEMEVAL 2024
Fine-tuning Language Models for AI vs Human Generated Text detection SEMEVAL 2024
eagerlearners at SemEval2024 Task 5: The Legal Argument Reasoning Task in Civil Procedure SEMEVAL 2024
TrustAI at SemEval-2024 Task 8: A Comprehensive Analysis of Multi-domain Machine Generated Text Detection Techniques SEMEVAL 2024
Transformers at SemEval-2024 Task 5: Legal Argument Reasoning Task in Civil Procedure using RoBERTa SEMEVAL 2024
Groningen Group E at SemEval-2024 Task 8: Detecting machine-generated texts through pre-trained language models augmented with explicit linguistic-stylistic features SEMEVAL 2024
Magnum JUCSE at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes SEMEVAL 2024
SemEval Task 8: A Comparison of Traditional and Neural Models for Detecting Machine Authored Text SEMEVAL 2024
DUTh at SemEval-2024 Task 6: Comparing Pre-trained Models on Sentence Similarity Evaluation for Detecting of Hallucinations and Related Observable Overgeneration Mistakes SEMEVAL 2024
DUTh at SemEval 2024 Task 8: Comparing classic Machine Learning Algorithms and LLM based methods for Multigenerator, Multidomain and Multilingual Machine-Generated Text Detection SEMEVAL 2024
IUSTNLPLAB at SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes SEMEVAL 2024
iimasNLP at SemEval-2024 Task 8: Unveiling structure-aware language models for automatic generated text identification SEMEVAL 2024
INGEOTEC at SemEval-2024 Task 10: Bag of Words Classifiers SEMEVAL 2024
PetKaz at SemEval-2024 Task 8: Can Linguistics Capture the Specifics of LLM-generated Text? SEMEVAL 2024
FI Group at SemEval-2024 Task 8: A Syntactically Motivated Architecture for Multilingual Machine-Generated Text Detection SEMEVAL 2024
Team Innovative at SemEval-2024 Task 8: Multigenerator, Multidomain, and Multilingual Black-Box Machine-Generated Text Detection SEMEVAL 2024
EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques SEMEVAL 2024
NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA SEMEVAL 2024
MasonTigers at SemEval-2024 Task 8: Performance Analysis of Transformer-based Models on Machine-Generated Text Detection SEMEVAL 2024
AISPACE at SemEval-2024 task 8: A Class-balanced Soft-voting System for Detecting Multi-generator Machine-generated Text SEMEVAL 2024
UCSC NLP at SemEval-2024 Task 10: Emotion Discovery and Reasoning its Flip in Conversation (EDiReF) SEMEVAL 2024
CLULab-UofA at SemEval-2024 Task 8: Detecting Machine-Generated Text Using Triplet-Loss-Trained Text Similarity and Text Classification SEMEVAL 2024