Pinned Repositories
Deep-Learning-with-TensorFlow-book
深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
entity-aware-relation-classification
Tensorflow Implementation of "Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing" (arXiv 2019)
ERNIE
Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"
fastHan
fastHan是基于fastNLP与pytorch实现的中文自然语言处理工具，像spacy一样调用方便。
multihead_joint_entity_relation_extraction
Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
BeamBin's Repositories
BeamBin/Deep-Learning-with-TensorFlow-book
深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
BeamBin/multihead_joint_entity_relation_extraction
Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).
BeamBin/entity-aware-relation-classification
Tensorflow Implementation of "Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing" (arXiv 2019)
BeamBin/ERNIE
Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"
BeamBin/fastHan
fastHan是基于fastNLP与pytorch实现的中文自然语言处理工具，像spacy一样调用方便。
BeamBin/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.