CoNLL-2003 English Named Entity Recognition.
NER challenge for CoNLL-2003 English. Annotations were taken from University of Antwerp. The English data is a collection of news wire articles from the Reuters Corpus, RCV1. [ver. 1.0.0]
Git repo URL: git://gonito.net/en-ner-conll-2003.git / Branch: master
Run git clone --single-branch git://gonito.net/en-ner-conll-2003.git -b master to get the challenge data
Browse at https://gonito.net/gitlist/en-ner-conll-2003.git/master
Leaderboard
| # | submitter | when | ver. | description | test-A BIO-F1 | × | |
|---|---|---|---|---|---|---|---|
| 1 | Patyk | 2023-06-20 21:32 | 1.0.0 | ShrekNet | 0.93918 | 11 | |
| 2 | Serba | 2023-06-21 11:01 | 1.0.0 | flair-pre | 0.91590 | 1 | |
| 3 | Henyk | 2023-06-20 11:39 | 1.0.0 | Solution based on preprocess + big flair + fixes + postprocess | 0.80180 | 2 | |
| 4 | ked | 2022-06-05 09:22 | 1.0.0 | s449288 - simple NN neural-network simple | 0.67651 | 2 | |
| 5 | [anonymized] | 2022-06-12 15:50 | 1.0.0 | s478841 neural-network simple | 0.61816 | 5 | |
| 6 | Jakub Eichner | 2022-06-20 18:11 | 1.0.0 | s478874 neural-network simple | 0.61718 | 5 | |
| 7 | Mikołaj Pokrywka | 2022-06-07 19:56 | 1.0.0 | s444463 neural-network simple | 0.61718 | 3 | |
| 8 | Pluciński | 2023-06-20 21:42 | 1.0.0 | solution2 | 0.61453 | 2 | |
| 9 | Malinowski | 2023-06-22 00:15 | 1.0.0 | solution | 0.60862 | 1 | |
| 10 | s478840 | 2022-06-21 21:54 | 1.0.0 | s478840 lstm | 0.60701 | 3 | |
| 11 | Dawidowicz | 2023-06-21 10:10 | 1.0.0 | Add files via upload | 0.60547 | 1 | |
| 12 | Wawrzyniak | 2023-06-21 08:23 | 1.0.0 | LSTM model | 0.55288 | 9 | |
| 13 | Kielar | 2023-06-19 20:18 | 1.0.0 | Solution | 0.23656 | 11 | |
| 14 | Skórzewski | 2023-06-14 12:41 | 1.0.0 | Pairs of capitalized words as 'B-PER I-PER' | 0.20767 | 2 |