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== Models == * [[attachment:model_1147_features.h5|1147 features (word embedding vectors size 50)]] * [[attachment:model_6647_features.h5|6647 features (word embedding vectors size 300)]] * [[attachment:model_1190_features.h5|1190 features (word embedding vectors size 50)]] * [[attachment:weights_siamese_model.h5|Siamese Networks model (word embedding vectors size 50)]] * [[attachment:model_with_singletons.h5|1190 features (5 times more negative examples used for training, word embedding vectors size 50)]] * [[http://mozart.ipipan.waw.pl/~axw/models/lemma/|word embedding vectors]] == Evaluation == * [[attachment:test.zip|test data set (TEI)]] * [[attachment:train.zip|training data set (TEI)]] |
Corneferencer
Corneferencer is a neural network based tool for performing Coreference Resolution (CR).
Principal developer: Bartłomiej Nitoń
Authors: Bartłomiej Nitoń, Paweł Morawiecki
Models