NLPExplorer

SemEval - 2021

Total Papers:- 187

Total Papers accross all years:- 1352

Total Citations :- 0

« 8 9 10 11 12 13 »

SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing

UPB at SemEval-2021 Task 8: Extracting Semantic Information on Measurements as Multi-Turn Question Answering

Andrei-Marius Avram | George-Eduard Zaharia | Dumitru-Clementin Cercel | Mihai Dascalu |

Entity at SemEval-2021 Task 5: Weakly Supervised Token Labelling for Toxic Spans Detection

Vaibhav Jain | Mina Naghshnejad |

TUDA-CCL at SemEval-2021 Task 1: Using Gradient-boosted Regression Tree Ensembles Trained on a Heterogeneous Feature Set for Predicting Lexical Complexity

Sebastian Gombert | Sabine Bartsch |

SemEval 2021 Task 7: HaHackathon, Detecting and Rating Humor and Offense

GX at SemEval-2021 Task 2: BERT with Lemma Information for MCL-WiC Task

Wanying Xie |

UAlberta at SemEval-2021 Task 2: Determining Sense Synonymy via Translations

Bradley Hauer | Hongchang Bao | Arnob Mallik | Grzegorz Kondrak |

BennettNLP at SemEval-2021 Task 5: Toxic Spans Detection using Stacked Embedding Powered Toxic Entity Recognizer

Harsh Kataria | Ambuje Gupta | Vipul Mishra |

HITSZ-HLT at SemEval-2021 Task 5: Ensemble Sequence Labeling and Span Boundary Detection for Toxic Span Detection

ANDI at SemEval-2021 Task 1: Predicting complexity in context using distributional models, behavioural norms, and lexical resources

Armand Rotaru |

UAntwerp at SemEval-2021 Task 5: Spans are Spans, stacking a binary word level approach to toxic span detection

Ben Burtenshaw | Mike Kestemont |

CSECU-DSG at SemEval-2021 Task 5: Leveraging Ensemble of Sequence Tagging Models for Toxic Spans Detection

IAPUCP at SemEval-2021 Task 1: Stacking Fine-Tuned Transformers is Almost All You Need for Lexical Complexity Prediction

Kervy Rivas Rojas | Fernando Alva-Manchego |

PolyU CBS-Comp at SemEval-2021 Task 1: Lexical Complexity Prediction (LCP)