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ner_emd_relation.json
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ner_emd_relation.json
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{
"task_ner":{
"task_description":{
"task_name": "ner",
"validation_metric_name": "f1-measure-overall",
"validation_metric_decreases": false,
"evaluate_on_test": true
},
"data_params":{
"dataset_reader":{
"type": "ner_ontonotes",
"label_namespace": "ontonotes_ner_labels",
"coding_scheme": "BIOUL",
"token_indexers": {
"tokens": {
"type": "single_id",
"lowercase_tokens": true
},
"token_characters":{
"type": "characters"
},
"elmo": {
"type": "elmo_characters"
}
}
},
"train_data_path": "./data/conll-2012/v4/data/train/",
"validation_data_path": "./data/conll-2012/v4/data/development/",
"test_data_path": "./data/conll-2012/v4/data/test/",
"datasets_for_vocab_creation": ["train"]
}
},
"task_emd":{
"task_description":{
"task_name": "emd",
"validation_metric_name": "f1-measure-overall",
"validation_metric_decreases": false,
"evaluate_on_test": true
},
"data_params":{
"dataset_reader": {
"type": "mention_ace",
"label_namespace": "ace_mention_labels",
"token_indexers": {
"tokens": {
"type": "single_id",
"lowercase_tokens": true
},
"token_characters":{
"type": "characters"
},
"elmo": {
"type": "elmo_characters"
}
}
},
"train_data_path": "./data/ace2005/train/",
"validation_data_path": "./data/ace2005/dev/",
"test_data_path": "./data/ace2005/test/",
"datasets_for_vocab_creation": ["train"]
}
},
"task_relation":{
"task_description":{
"task_name": "relation",
"validation_metric_name": "f1-measure-overall",
"validation_metric_decreases": false,
"evaluate_on_test": true
},
"data_params":{
"dataset_reader": {
"type": "relation_ace",
"token_indexers": {
"tokens": {
"type": "single_id",
"lowercase_tokens": true
},
"token_characters":{
"type": "characters"
},
"elmo": {
"type": "elmo_characters"
}
}
},
"train_data_path": "./data/ace2005/train/",
"validation_data_path": "./data/ace2005/dev/",
"test_data_path": "./data/ace2005/test/",
"datasets_for_vocab_creation": ["train"]
}
},
"model": {
"type": "ner_emd_relation",
"text_field_embedder": {
"token_embedders": {
"tokens": {
"type": "embedding",
"pretrained_file": "./data/glove/glove.6B.100d.txt.gz",
"embedding_dim": 100,
"trainable": true
},
"elmo": {
"type": "elmo_token_embedder",
"options_file": "./data/elmo/2x4096_512_2048cnn_2xhighway_options.json",
"weight_file": "./data/elmo/2x4096_512_2048cnn_2xhighway_weights.hdf5",
"do_layer_norm": false,
"dropout": 0,
"requires_grad": false
},
"token_characters": {
"type": "character_encoding",
"embedding": {
"embedding_dim": 16
},
"encoder": {
"type": "cnn",
"embedding_dim": 16,
"num_filters": 64,
"ngram_filter_sizes": [3]
},
"dropout": 0.1
}
}
},
"ner": {
"encoder": {
"type": "lstm",
"bidirectional": true,
"input_size": 1188,
"hidden_size": 64,
"num_layers": 2,
"dropout": 0.2
},
"tagger": {
"label_namespace": "ontonotes_ner_labels",
"constraint_type": "BIOUL",
"dropout": 0.2
}
},
"emd": {
"encoder": {
"type": "lstm",
"bidirectional": true,
"input_size": 1316,
"hidden_size": 64,
"num_layers": 2,
"dropout": 0.2
},
"tagger": {
"label_namespace": "ace_mention_labels",
"constraint_type": "BIOUL",
"dropout": 0.2
}
},
"relation": {
"encoder": {
"type": "lstm",
"bidirectional": true,
"input_size": 1316,
"hidden_size": 64,
"num_layers": 3,
"dropout": 0.2
},
"tagger": {
"d": 64,
"l": 64,
"n_classes": 6,
"activation": "relu"
}
}
},
"iterators": {
"iterator": {
"type": "basic",
"batch_size": 32
},
"iterator_relation": {
"type": "basic",
"batch_size": 4
}
},
"multi_task_trainer": {
"type": "sampler_multi_task_trainer",
"sampling_method": "proportional",
"patience": 10,
"num_epochs": 100,
"min_lr": "1e-7",
"grad_norm": 5.0,
"grad_clipping": 10.0,
"cuda_device": 0,
"optimizer": {
"type": "adam",
"lr": 0.001
},
"scheduler": {
"type": "reduce_on_plateau",
"mode": "min",
"factor": 0.5,
"patience": 5,
"threshold": 0.0001,
"threshold_mode": "abs",
"verbose": true
}
}
}