Pinned Repositories
AutoDL-nlp
bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
finetune-transformer-lm
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
noisy_labels
TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
RESIDE
EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
BERT-Classification-Tutorial
ejld's Repositories
ejld/AutoDL-nlp
ejld/bi-att-flow
Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.
ejld/finetune-transformer-lm
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
ejld/noisy_labels
TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
ejld/RESIDE
EMNLP 2018: RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information