373 Open source projects that are alternatives of or similar to InformationExtractionSystem

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

Paper notes for Information Extraction, including Relation Extraction (RE), Named Entity Recognition (NER), Entity Linking (EL), Event Extraction (EE), Named Entity Disambiguation (NED).

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。

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。

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

PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

CogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021

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

基于深度学习的自然语言处理库

State of the Art Natural Language Processing

Natural language understanding library for chatbots with intent recognition and entity extraction.

Named Entity Recognition & Relation Extraction 实体命名识别与关系分类

A lightweight web-based annotation tool for labelling entity recognition data.

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

Information extraction pipeline containing coreference resolution, named entity linking, and relationship extraction

simple rule based named entity recognition

Pretrained Span and span Pair Encoder, code for "Pre-training Entity Relation Encoder with Intra-span and Inter-spanInformation.", EMNLP2020. It is based on our NERE toolkit (https://github.com/Receiling/NERE).

A PyTorch implementation of GraphRel

PyTorch implementation of the position-aware attention model for relation extraction

A curated list of Open Information Extraction (OIE) resources: papers, code, data, etc.

Distantly Supervised Relation Extraction

Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

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

[ACL 19] Fine-tuning Pre-Trained Transformer Language Models to Distantly Supervised Relation Extraction

A curated list of NLP resources for Hungarian

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

Document Enrichment plugin for Elasticsearch

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。

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.

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

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

Zero-shot Transfer Learning from English to Arabic

Federated Knowledge Extraction Framework

Flexible and powerful platform for biomedical information extraction from text

Tool for slot extraction from text

Implementation of Nested Named Entity Recognition using Flair

农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策

📍 🏢 🏦 🏣 🏪 🏬 LNEx: Location Name Extractor

OpenUE是一个轻量级知识图谱抽取工具 (An Open Toolkit for Universal Extraction from Text published at EMNLP2020: https://aclanthology.org/2020.emnlp-demos.1.pdf)

PyTorch code for SpERT: Span-based Entity and Relation Transformer

Indirect Supervision for Relation Extraction Using Question-Answer Pairs (WSDM'18)

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

Snips Python library to extract meaning from text

Implementation of Nested Named Entity Recognition using BERT

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

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

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

Python library for custom entity recognition using Sklearn CRF

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

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

Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)

Code for "Reliability-aware Dynamic Feature Composition for Name Tagging" (ACL2019)

使用知识图谱，自然语言处理，卷积神经网络等技术，基于python语言，设计了一个数控领域故障诊断专家系统

CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

Frog is an integration of memory-based natural language processing (NLP) modules developed for Dutch. All NLP modules are based on Timbl, the Tilburg memory-based learning software package.

NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition

Contextual LSTM for NLP tasks like word prediction and word embedding creation for Deep Learning