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Natural Language Processing
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Text Classification
6,754 papers
Papers per year
2000: 1
2001: 1
2002: 1
2003: 3
2004: 1
2005: 2
2006: 4
2007: 2
2008: 4
2009: 4
2010: 3
2011: 3
2012: 2
2013: 8
2014: 6
2015: 2
2016: 56
2017: 173
2018: 281
2019: 461
2020: 628
2021: 778
2022: 844
2023: 884
2024: 1050
2025: 1378
2026: 174
Papers
PoSh at SemEval-2023 Task 10: Explainable Detection of Online Sexism
ACL 2023
Nonet at SemEval-2023 Task 6: Methodologies for Legal Evaluation
ACL 2023
ChaPat at SemEval-2023 Task 9: Text Intimacy Analysis using Ensembles of Multilingual Transformers
ACL 2023
Masakhane-Afrisenti at SemEval-2023 Task 12: Sentiment Analysis using Afro-centric Language Models and Adapters for Low-resource African Languages
ACL 2023
ACCEPT at SemEval-2023 Task 3: An Ensemble-based Approach to Multilingual Framing Detection
ACL 2023
Noam Chomsky at SemEval-2023 Task 4: Hierarchical Similarity-aware Model for Human Value Detection
ACL 2023
AdamR at SemEval-2023 Task 10: Solving the Class Imbalance Problem in Sexism Detection with Ensemble Learning
ACL 2023
PoliToHFI at SemEval-2023 Task 6: Leveraging Entity-Aware and Hierarchical Transformers For Legal Entity Recognition and Court Judgment Prediction
ACL 2023
UO-LouTAL at SemEval-2023 Task 6: Lightweight Systems for Legal Processing
ACL 2023
NLP-LTU at SemEval-2023 Task 10: The Impact of Data Augmentation and Semi-Supervised Learning Techniques on Text Classification Performance on an Imbalanced Dataset
ACL 2023
John-Arthur at SemEval-2023 Task 4: Fine-Tuning Large Language Models for Arguments Classification
ACL 2023
NAP at SemEval-2023 Task 3: Is Less Really More? (Back-)Translation as Data Augmentation Strategies for Detecting Persuasion Techniques
ACL 2023
Alexander Knox at SemEval-2023 Task 5: The comparison of prompting and standard fine-tuning techniques for selecting the type of spoiler needed to neutralize a clickbait
ACL 2023
DN at SemEval-2023 Task 12: Low-Resource Language Text Classification via Multilingual Pretrained Language Model Fine-tuning
ACL 2023
Billie-Newman at SemEval-2023 Task 5: Clickbait Classification and Question Answering with Pre-Trained Language Models, Named Entity Recognition and Rule-Based Approaches
ACL 2023
UTB-NLP at SemEval-2023 Task 3: Weirdness, Lexical Features for Detecting Categorical Framings, and Persuasion in Online News
ACL 2023
CL-UZH at SemEval-2023 Task 10: Sexism Detection through Incremental Fine-Tuning and Multi-Task Learning with Label Descriptions
ACL 2023
DSHacker at SemEval-2023 Task 3: Genres and Persuasion Techniques Detection with Multilingual Data Augmentation through Machine Translation and Text Generation
ACL 2023
HW-TSC at SemEval-2023 Task 7: Exploring the Natural Language Inference Capabilities of ChatGPT and Pre-trained Language Model for Clinical Trial
ACL 2023
Quintilian at SemEval-2023 Task 4: Grouped BERT for Multi-Label Classification
ACL 2023
I2R at SemEval-2023 Task 7: Explanations-driven Ensemble Approach for Natural Language Inference over Clinical Trial Data
ACL 2023
NLUBot101 at SemEval-2023 Task 3: An Augmented Multilingual NLI Approach Towards Online News Persuasion Techniques Detection
ACL 2023
Alexa at SemEval-2023 Task 10: Ensemble Modeling of DeBERTa and BERT Variations for Identifying Sexist Text
ACL 2023
Gallagher at SemEval-2023 Task 5: Tackling Clickbait with Seq2Seq Models
ACL 2023
iLab at SemEval-2023 Task 11 Le-Wi-Di: Modelling Disagreement or Modelling Perspectives?
ACL 2023
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