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Entity-Relation-Extraction

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

Language:Python121800

kg-baseline-pytorch

2019百度的关系抽取比赛，使用Pytorch实现苏神的模型，F1在dev集可达到0.75，联合关系抽取，Joint Relation Extraction.

Language:Python31400

kg-2019-baseline

2019年百度的三元组抽取比赛，一个baseline

Language:Python21000

LexiconAugmentedNER

Reject complicated operations for incorporating lexicon for Chinese NER.

Language:Python43500

ruijin_round2

瑞金医院MMC人工智能辅助构建知识图谱大赛复赛

Language:Jupyter Notebook18000

CasRel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

Language:PythonMIT76000

ruijin_round1

瑞金医院MMC人工智能辅助构建知识图谱大赛初赛

Language:Jupyter Notebook13800

ccks2019_el

CCKS 2019 Task 2: Entity Recognition and Linking

Language:PythonMIT9500

pytorch_graph-rel

A PyTorch implementation of GraphRel

Language:PythonMIT26800

This repository contains the corpora and supplementary data, along with instructions for recreating the experiments, for our paper: "End-to-end Named Entity Recognition and Relation Extraction using Pre-trained Language Models".

Language:Jupyter NotebookGPL-3.09100

few-shot-ood

Language:PythonMIT2900

bert-in-production

A collection of resources on using BERT (https://arxiv.org/abs/1810.04805 ) and related Language Models in production environments.

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RL-based-Graph2Seq-for-NQG

Code & data accompanying the ICLR 2020 paper "Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation"

Language:PythonApache-2.012200

Entity_Alignment_Papers

Must-read papers on entity alignment published in recent years

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EventTriplesExtraction

An experiment and demo-level tool for text information extraction (event-triples extraction), which can be a route to the event chain and topic graph, 基于依存句法与语义角色标注的事件三元组抽取，可用于文本理解如文档主题链，事件线等应用。

Language:Python91400