Intent and Slot Filling Bi-Model
train(train_file = "data/train_dev", test_file = "data/test", vocab_intent_file = "data/vocab.intent", vocab_slot_file = "data/vocab.slot", device = torch.device("cuda" if torch.cuda.is_available() else "cpu"), total_epoch = 50, max_len = 50, batch = 16, learning_rate = 0.001, DROPOUT = 0.2, embedding_size = 300, lstm_hidden_size = 200)
5 files would be generated after training: model_intent_best.pt model_slot_best.pt word_dict.pickle slot_dict.pickle intent_dict.pickle
predict(sentence="find nonstop flights from salt lake city to new york on saturday april ninth.", data_path="/Users/chenzichu/Desktop/slot-filling/package/slot_ZC", device = torch.device("cuda" if torch.cuda.is_available() else "cpu"), max_len = 50, batch = 16, DROPOUT = 0.2, embedding_size = 300, lstm_hidden_size = 200)
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Release files for slot-filling-ZC 0.2.4
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