291 Open source projects that are alternatives of or similar to Gigabert

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

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

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

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

Federated Knowledge Extraction Framework

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

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

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

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

基于深度学习的自然语言处理库

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

A PyTorch implementation of GraphRel

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

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。

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

A Large-Scale Few-Shot Relation Extraction Dataset

Snips Python library to extract meaning from text

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

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

Automatic Summarization of Resumes with NER -> Evaluate resumes at a glance through Named Entity Recognition

State-of-the-art natural language processing for Ruby

Curated List of Persian Natural Language Processing and Information Retrieval Tools and Resources

Implementation of our papers Joint entity recognition and relation extraction as a multi-head selection problem (Expert Syst. Appl, 2018) and Adversarial training for multi-context joint entity and relation extraction (EMNLP, 2018).

An Open-Source Package for Neural Relation Extraction (NRE)

A Vietnamese natural language processing toolkit (NAACL 2018)

基于深度学习的开源中文关系抽取框架

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.

PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

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

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

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

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

中文实体关系抽取，pytorch，bilstm+attention

An elaborate and exhaustive paper list for Named Entity Recognition (NER)

🎯🗯 Generate datasets for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!

slot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet

基于Pytorch和torchtext的知识图谱深度学习框架。

Must-read papers on neural relation extraction (NRE)

Named Entity Recognition

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

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

💫 Industrial-strength Natural Language Processing (NLP) in Python

Textpipe: clean and extract metadata from text

BERTweet: A pre-trained language model for English Tweets (EMNLP-2020)

Deep neural models for core NLP tasks (Pytorch version)

Named-Entity-Recognition-with-Bidirectional-LSTM-CNNs

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

Official Stanford NLP Python Library for Many Human Languages

Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document processing, OCR for images & PDF, named entity recognition for persons, organizations & locations, metadata management by thesaurus & ontologies, search user interface & search apps for fulltext search, faceted search & knowledge graph)

LanguageCrunch NLP server docker image

chatbot_ner: Named Entity Recognition for chatbots.

Github repo with tutorials to fine tune transformers for diff NLP tasks

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

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。

基于Pytorch和torchtext的自然语言处理深度学习框架。

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

BERT for Multitask Learning