HASOC (2021)

Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages

RANK TEAM SUBMISSION NAME MACRO F1

1

 NLP-CIC RoBERTa-tw-large 0.8305

2

 HUNLP HUNLP__ 0.8215

3

 neuro-utmn-thales submission 2 0.8199

4

 HNLP B_Rob 0.8089

5

 Chandigarh_Concordia update_q 0.8040

6

 KuiYongyi en-A-classify_result3 0.8030

7

 t1 t1_2 0.8026

8

 UINSUSKA BERT+NN 0.8024

9

 TUW-Inf Learned voting 0.8018

10

 UMUTeam run1 BERT 0.8013

11

 HASOC21rub submission4 0.8013

12

 Super Mario Bestn 0.8006

13

 Hasnuhana ContextAware 1 0.8006

14

 NeuralSpace ns_sub3_engA 0.7996

15

 Sakshi HASOC FineTuned BERT-sub3 0.7993

16

 IRLab@IITBHU ENSA_submission_5 0.7976

17

 PreCog IIIT Hyderabad features_all 0.7959

18

 IMS-SINAI mtl_sentiment_emotion_target 0.7947

19

 SSN_NLP_MLRG sub1 0.7919

20

 giniUs bert_pretrained 0.7909

21

 biCourage 2GCNs 0.7900

22

 hate-busters BERT-t10_run2 0.7894

23

 SATLab English 1b 0.7823

24

 TAD Deep Model 0.7776

25

 Beware Haters Task1A_Submission3 0.7722

26

 TeamOulu final submission cnn 0.7700

27

 Vishesh Gupta Glove 0.7680

28

 AUST_AI pretrain_NLP 0.7644

29

 Alehegn Adane HASOC_2021_XGB 0.7623

30

 PC1 sample1 0.7618

31

 TeamBD cnn_2021_backtranslation 0.7602

32

 IIT_Patna 1_en_Task1_GRU_impr.csv 0.7578

33

 TIB-VA Bert+Hatewords+Char_emb 0.7565

34

 S_Cube en_task_1A_svm_tfidf 0.7563

35

 SOA_NLP SOA_NLP_3 0.7551

36

 SSNCSE_NLP SSN_ENG_SVM 0.7541

37

 JZ2021 ZJ4 0.7497

38

 Binary Beings Binary_Beings_BERT_A 0.7491

39

 E8@IJS SecondTime 0.7484

40

 JU_CSE_Team Submission_1 0.7468

41

 TCS Research Lab Gurgaon BiGRU_Topics_Empath 0.7448

42

 AI-NLP-ML@IITP hasoc2021_R5 0.7413

43

 MUM MUM_English_TaskA1 0.7389

44

 BIU test_1 0.7388

45

 QQQ QQQ_submission 0.7374

46

 Oswald BERT + Hate detection 0.7339

47

 JCT abf 0.7327

48

 TNLP TNLP_CMH_S1_E11 0.7314

49

 DLRG ET1S1 0.7255

50

 TU Berlin TUB_Bert_Embedding_2 0.7203

51

 University of Botswana Computer Science (UBCS) Run 2 - UBCS 0.7070

52

 PUCV PUCV_base_sbmn 0.7037

53

 JU_PAD man_diff_ 0.6813

54

 NLP_JU JU_HASOC 0.5999

55

 Team P&P P&P_OVERALL_2 0.5133

56

 ML-LTU lstm-attention 0.5012