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11,300 papers
Papers per year
2002: 2
2003: 3
2006: 11
2007: 13
2008: 16
2009: 16
2010: 23
2011: 27
2012: 30
2013: 55
2014: 69
2015: 145
2016: 408
2017: 695
2018: 1065
2019: 1479
2020: 1348
2021: 1407
2022: 1147
2023: 1123
2024: 1083
2025: 811
2026: 324
Papers
DM_NLP at SemEval-2018 Task 8: neural sequence labeling with linguistic features
SEMEVAL 2018
SemEval-2018 Task 12: The Argument Reasoning Comprehension Task
SEMEVAL 2018
LightRel at SemEval-2018 Task 7: Lightweight and Fast Relation Classification
SEMEVAL 2018
OhioState at SemEval-2018 Task 7: Exploiting Data Augmentation for Relation Classification in Scientific Papers Using Piecewise Convolutional Neural Networks
SEMEVAL 2018
The UWNLP system at SemEval-2018 Task 7: Neural Relation Extraction Model with Selectively Incorporated Concept Embeddings
SEMEVAL 2018
UC3M-NII Team at SemEval-2018 Task 7: Semantic Relation Classification in Scientific Papers via Convolutional Neural Network
SEMEVAL 2018
MIT-MEDG at SemEval-2018 Task 7: Semantic Relation Classification via Convolution Neural Network
SEMEVAL 2018
SIRIUS-LTG-UiO at SemEval-2018 Task 7: Convolutional Neural Networks with Shortest Dependency Paths for Semantic Relation Extraction and Classification in Scientific Papers
SEMEVAL 2018
IRCMS at SemEval-2018 Task 7 : Evaluating a basic CNN Method and Traditional Pipeline Method for Relation Classification
SEMEVAL 2018
Texterra at SemEval-2018 Task 7: Exploiting Syntactic Information for Relation Extraction and Classification in Scientific Papers
SEMEVAL 2018
UniMa at SemEval-2018 Task 7: Semantic Relation Extraction and Classification from Scientific Publications
SEMEVAL 2018
GU IRLAB at SemEval-2018 Task 7: Tree-LSTMs for Scientific Relation Classification
SEMEVAL 2018
ClaiRE at SemEval-2018 Task 7: Classification of Relations using Embeddings
SEMEVAL 2018
NEUROSENT-PDI at SemEval-2018 Task 7: Discovering Textual Relations With a Neural Network Model
SEMEVAL 2018
Talla at SemEval-2018 Task 7: Hybrid Loss Optimization for Relation Classification using Convolutional Neural Networks
SEMEVAL 2018
TeamDL at SemEval-2018 Task 8: Cybersecurity Text Analysis using Convolutional Neural Network and Conditional Random Fields
SEMEVAL 2018
HCCL at SemEval-2018 Task 8: An End-to-End System for Sequence Labeling from Cybersecurity Reports
SEMEVAL 2018
Villani at SemEval-2018 Task 8: Semantic Extraction from Cybersecurity Reports using Representation Learning
SEMEVAL 2018
SJTU-NLP at SemEval-2018 Task 9: Neural Hypernym Discovery with Term Embeddings
SEMEVAL 2018
THU_NGN at SemEval-2018 Task 10: Capturing Discriminative Attributes with MLP-CNN model
SEMEVAL 2018
AmritaNLP at SemEval-2018 Task 10: Capturing discriminative attributes using convolution neural network over global vector representation.
SEMEVAL 2018
NTU NLP Lab System at SemEval-2018 Task 10: Verifying Semantic Differences by Integrating Distributional Information and Expert Knowledge
SEMEVAL 2018
ELiRF-UPV at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge
SEMEVAL 2018
YNU_AI1799 at SemEval-2018 Task 11: Machine Comprehension using Commonsense Knowledge of Different model ensemble
SEMEVAL 2018
YNU_Deep at SemEval-2018 Task 11: An Ensemble of Attention-based BiLSTM Models for Machine Comprehension
SEMEVAL 2018
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