Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019

使用Bert完成实体之间关系抽取

PyTorch implementation for "Matching the Blanks: Distributional Similarity for Relation Learning" paper

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"

使用bert进行关系三元组抽取。

BERT + reproduce "Joint entity recognition and relation extraction as a multi-head selection problem" for Chinese and English IE

Bert-based models(BERT, MTB, CP) for relation extraction.

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

NER and Relation Extraction from Electronic Health Records (EHR).

The depository support training and testing BERT-CNN model on three medical relation extraction corpora: BioCreative V CDR task corpus, traditional Chinese medicine literature corpus, and i2b2 temporal relation corpus.

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基于pytorch+bert的中文关系抽取

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[CCKS 2021] On Robustness and Bias Analysis of BERT-based Relation Extraction

Relation Classificaton based on information enhanced BERT

Improving Distantly-Supervised Relation Extraction through BERT-based Label & Instance Embeddings

使用R-BERT模型对人物关系模型进行分类，效果有显著提升。

Bert + PCNN and PCNN 中文关系抽取任务

GCN and BERT for relation extraction

基于Bert模型的关系抽取和实体识别、Entity Extraction and Relation Extract using Bert

Applied BERT based model to extract relations from 29 annual reports of listed companies and news; Used spaCy library and BERT model for name-entity recognition and relations extraction, and generated a network graph that summarises the key relation

Relation Extraction using BERT and BioBERT - using BERT, we achieved new state of the art results

Implementation of Enriching Pre-trained Language Model Entity Information for Relation Classification.

BERT for Biodiversity domain including 2 downstream tasks: Named Entity Recognition (NER) and Relation Extraction (RE)

Extract relations from text using BERT model

Entity Relation Extraction using Bert & LSTM

Relation Extraction in Biomedical using BI-LSTM-CRF model, Bert Embedding, Keras, and Tensorflow

Transactions of the Chinese Society for Agricultural Machinery Journal Articles

Relation Extraction: BERT vs BiLSTM