117 Open source projects that are alternatives of or similar to Schema Based Knowledge 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

Information Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc.

The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.

Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型，可用于 http://lic2019.ccf.org.cn/kg 信息抽取。

论文实现(ACL2019)：《Matching the Blanks: Distributional Similarity for Relation Learning》

Semantic annotator: Matching CSV to a Wikibase instance (e.g., Wikidata) via Meta-lookup

Neural Relation Extraction in Pytorch

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

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

基于Pytorch和torchtext的自然语言处理深度学习框架。

Relation Extraction 中文关系提取

Entity Extraction Text Processor

REx: Relation Extraction. Modernized re-write of the code in the master's thesis: "Relation Extraction using Distant Supervision, SVMs, and Probabalistic First-Order Logic"

基于深度学习的自然语言处理库

Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.

Full abstract relation extraction from biological texts with bi-affine relation attention networks

Neural Relation Extraction, including CNN, PCNN, CNN+ATT, PCNN+ATT

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

Chinese Open Information Extraction (Tree-based Triple Relation Extraction Module)

研读顶会论文，复现论文相关代码

An open source library for deep learning end-to-end dialog systems and chatbots.

A Large-Scale Few-Shot Relation Extraction Dataset

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.

Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

中文实体关系抽取，pytorch，bilstm+attention

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

A JavaFX based desktop search application.

An open relation extraction system

Federated Knowledge Extraction Framework

End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, and date/time expressed in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI. Partial support for NL, JA, KO, SV). Contributions are greatly welcome! Packages are available at https://www.nuget.org/profiles/Recognizers.Text and https://www.npmjs.com/~recognizers.text

code of Relation Classification via Multi-Level Attention CNNs

A collection of research on knowledge graphs

瑞金医院MMC人工智能辅助构建知识图谱大赛初赛

Zero-shot Transfer Learning from English to Arabic

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

Must-read papers on neural relation extraction (NRE)

Adversarial Training for Neural Relation Extraction

Distantly Supervised Relation Extraction

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.

Automatic Entity Recognition and Typing for Domain-Specific Corpora (KDD'15)

📖 A curated list of awesome resources dedicated to Relation Extraction, one of the most important tasks in Natural Language Processing (NLP).

Open Information Extraction (OpenIE) and Open Relation Extraction (ORE) papers and data.

基于深度学习的开源中文关系抽取框架

Open Source REST API for named entity extraction, named entity linking, named entity disambiguation, recommendation & reconciliation of entities like persons, organizations and places for (semi)automatic semantic tagging & analysis of documents by linked data knowledge graph like SKOS thesaurus, RDF ontology, database(s) or list(s) of names

A curated list of awesome knowledge graph tutorials, projects and communities.

Joint Neural Relation Extraction with Text and KGs

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

AAAI20 "CopyMTL: Copy Mechanism for Joint Extraction of Entities and Relations with Multi-Task Learning"

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

Relation Extraction using Deep learning(CNN)

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

Attention Guided Graph Convolutional Networks for Relation Extraction (authors' PyTorch implementation for the ACL19 paper)

[AKBC 19] Improving Relation Extraction by Pre-trained Language Representations

这是一款基于web的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。

State of the Art Natural Language Processing