jingyuanz/Pytorch-Bert-Re2-text-matching

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Created about 5 years ago
Updated about 5 years ago

jingyuanz/Pytorch-Bert-Re2-text-matching

jingyuanz

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Re2 Model pytorch implementation, along with bert finetuning, based on paper "Simple and Effective Text Matching with Richer Alignment Features"

deep_learn_entity_level_distributed_representation_coreference_chinese

chinese coreference resolution, implementation of paper 1606.01323v2 (stanford)

protonet-bert-text-classification

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

keras-self-attention-layer

a simple implementation of self attention layer that outputs flattened sentence embedding matrix, with the Frobenius norm penalty

chinese-text-classification-keras

keras based text query classification model using C-LSTM

Deep-Reinforcement-Learning-for-Stock-Trading

An implementation of Deep Reinforcement Learning agents (DDQN, Dueling, Distributional, A2C, etc.) for stock trading

stanfordnlp_chinese_coreference

NLP corpus preprocessing and training data generation using Stanford java package

meta-learning-text-classification

aspect