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Top 26 entity-extraction open source projects

Ner Bert Pytorch
PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.
Schema Based Knowledge Extraction
Code for http://lic2019.ccf.org.cn/kg 信息抽取。使用基于 BERT 的实体抽取和关系抽取的端到端的联合模型。
Baleen
Entity Extraction Text Processor
Ruijin round1
瑞金医院MMC人工智能辅助构建知识图谱大赛初赛
Clustype
Automatic Entity Recognition and Typing for Domain-Specific Corpora (KDD'15)
Open Semantic Entity Search Api
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
Recognizers Text
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
Nlp tensorflow project
Use tensorflow to achieve some NLP project, eg: classification chatbot ner attention QAetc.
Entity Recognition Datasets
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.
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
Dbpedia Spotlight
DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.
Nlp.js
An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more
Multiple Relations Extraction Only Look Once
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。
A Pytorch Tutorial To Sequence Labeling
Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling
InformationExtractionSystem
Information Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc.
extractacy
Spacy pipeline object for extracting values that correspond to a named entity (e.g., birth dates, account numbers, laboratory results)
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