122021-06-02 14:58:35MaciejOgrodniczuk112018-10-05 10:09:36BartlomiejNiton102018-10-05 09:57:13BartlomiejNiton92018-02-23 11:52:06BartlomiejNiton82018-02-23 11:51:04BartlomiejNiton72018-02-23 11:41:19BartlomiejNiton62018-02-23 11:06:50BartlomiejNiton52018-02-23 11:06:42BartlomiejNiton42018-02-23 11:06:22BartlomiejNiton32018-02-23 11:05:29BartlomiejNiton22018-02-07 09:54:13BartlomiejNiton12018-02-07 09:54:01BartlomiejNiton

Corneferencer is a neural network based tool for performing Coreference Resolution (CR). Principal developer: Bartłomiej Nitoń Authors: Bartłomiej Nitoń, Paweł Morawiecki

CC-BY-NC

You may check out the source code from git repository.

1147 features (word embedding vectors size 50) 6647 features (word embedding vectors size 300) 1190 features (word embedding vectors size 50) Siamese Networks model (word embedding vectors size 50) 1190 features (5 times more negative examples used for training, word embedding vectors size 50) word embedding vectors

test data set (TEI) training data set (TEI)