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Methodology
← Resources & Methods
Natural Language Processing
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Resources & Methods
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Large Language Models
9067 directly classified papers
Papers per year
2010: 1
2013: 1
2017: 1
2018: 14
2019: 129
2020: 336
2021: 463
2022: 582
2023: 1165
2024: 2492
2025: 3325
2026: 558
Papers
YNU-oxz at SemEval-2020 Task 4: Commonsense Validation Using BERT with Bidirectional GRU
SEMEVAL 2020
Lee at SemEval-2020 Task 12: A BERT Model Based on the Maximum Self-ensemble Strategy for Identifying Offensive Language
SEMEVAL 2020
K-BERT: Enabling Language Representation with Knowledge Graph
AAAI 2020
Hitachi at SemEval-2020 Task 3: Exploring the Representation Spaces of Transformers for Human Sense Word Similarity
SEMEVAL 2020
SWAGex at SemEval-2020 Task 4: Commonsense Explanation as Next Event Prediction
SEMEVAL 2020
DEEPYANG at SemEval-2020 Task 4: Using the Hidden Layer State of BERT Model for Differentiating Common Sense
SEMEVAL 2020
JUSTers at SemEval-2020 Task 4: Evaluating Transformer Models against Commonsense Validation and Explanation
SEMEVAL 2020
KDE SenseForce at SemEval-2020 Task 4: Exploiting BERT for Commonsense Validation and Explanation
SEMEVAL 2020
UPB at SemEval-2020 Task 6: Pretrained Language Models for Definition Extraction
SEMEVAL 2020
LRG at SemEval-2020 Task 7: Assessing the Ability of BERT and Derivative Models to Perform Short-Edits Based Humor Grading
SEMEVAL 2020
HinglishNLP at SemEval-2020 Task 9: Fine-tuned Language Models for Hinglish Sentiment Detection
SEMEVAL 2020
FiSSA at SemEval-2020 Task 9: Fine-tuned for Feelings
SEMEVAL 2020
WESSA at SemEval-2020 Task 9: Code-Mixed Sentiment Analysis Using Transformers
SEMEVAL 2020
IDS at SemEval-2020 Task 10: Does Pre-trained Language Model Know What to Emphasize?
SEMEVAL 2020
ApplicaAI at SemEval-2020 Task 11: On RoBERTa-CRF, Span CLS and Whether Self-Training Helps Them
SEMEVAL 2020
ERNIE at SemEval-2020 Task 10: Learning Word Emphasis Selection by Pre-trained Language Model
SEMEVAL 2020
Unsupervised Commonsense Question Answering with Self-Talk
EMNLP 2020
Pretrained Language Models for Dialogue Generation with Multiple Input Sources
EMNLP 2020
SenseBERT: Driving Some Sense into BERT
ACL 2020
UHH-LT at SemEval-2020 Task 12: Fine-Tuning of Pre-Trained Transformer Networks for Offensive Language Detection
SEMEVAL 2020
Hitachi at SemEval-2020 Task 10: Emphasis Distribution Fusion on Fine-Tuned Language Models
SEMEVAL 2020
newsSweeper at SemEval-2020 Task 11: Context-Aware Rich Feature Representations for Propaganda Classification
SEMEVAL 2020
SocCogCom at SemEval-2020 Task 11: Characterizing and Detecting Propaganda Using Sentence-Level Emotional Salience Features
SEMEVAL 2020
Analyzing Individual Neurons in Pre-trained Language Models
EMNLP 2020
On-The-Fly Information Retrieval Augmentation for Language Models
ACL 2020
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