386 Open source projects that are alternatives of or similar to Information Extraction Chinese

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

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。

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

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

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

A curated list of NLP resources for Hungarian

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)

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

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)

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

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

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

Tool for slot extraction from text

Distantly Supervised Relation Extraction

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

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

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

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

基于深度学习的自然语言处理库

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

simple rule based named entity recognition

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

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).

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。

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

📍 🏢 🏦 🏣 🏪 🏬 LNEx: Location Name Extractor

Implementation of Nested Named Entity Recognition using BERT

Snips Python library to extract meaning from text

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

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

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

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.

Implementation of Nested Named Entity Recognition using Flair

A PyTorch implementation of GraphRel

百度NLP：分词，词性标注，命名实体识别，词重要性

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

Federated Knowledge Extraction Framework

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

Flexible and powerful platform for biomedical information extraction from text

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

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

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

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

Zero-shot Transfer Learning from English to Arabic

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

A pythonic wrapper for Stanford CoreNLP.

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

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

使用 RASA NLU 来构建中文自然语言理解系统（NLU）| Use RASA NLU to build a Chinese Natural Language Understanding System (NLU)

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

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

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

基于Bi-GRU + CRF 的中文机构名、人名识别, 支持google bert模型

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

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

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

命名体识别(NER)综述-论文-模型-代码(BiLSTM-CRF/BERT-CRF)-竞赛资源总结-随时更新