265 Open source projects that are alternatives of or similar to Multiple Relations Extraction Only Look Once

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.

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

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

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

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

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

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。

Distantly Supervised Relation Extraction

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

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

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

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

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。

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).

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

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

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

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

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

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

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

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

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

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

A few TensorFlow techniques I'm saving for future reference.

My notes.

A Causal Relation Schema for Text

Combining Distant and Direct Supervision for Neural Relation Extraction

NLP Web Service

Unsupervised domain adaptation method for relation extraction

Original implementation of QA4IE

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

GAN in Tensorflow to be run via Linux command line

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

Implementation of Nested Named Entity Recognition using Flair

Implementation of the ClausIE information extraction system for python+spacy

How to train a Tensorflow face object detection model

PyTorch to Keras model convertor

NLP: Relation extraction with position-aware self-attention transformer

simple rule based named entity recognition

Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.

Source code and dataset of EMNLP2017 paper "Incorporating Relation Paths in Neural Relation Extraction".

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

No description or website provided.

A 1D toy example of optimizing a generative model using the WGAN-GP model.

Tensorflow 2.0 implementation of Deep Autoregressive Models

OpenNRE for Chinese open relation extraction task in pytorch

Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.

An open information extraction system that provides compact extractions

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

A neural architecture for relation extraction task implemented in Tensorflow.

Tensor Flow implementation for Android

Source code and dataset for the CCKS201 paper "On Robustness and Bias Analysis of BERT-based Relation Extraction"

[ACL 2021] KGPool: Dynamic Knowledge Graph Context Selection for Relation Extraction

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

📍 🏢 🏦 🏣 🏪 🏬 LNEx: Location Name Extractor

Vancouver Event and Relation System for Extraction

Deriving Neural Architectures from Sequence and Graph Kernels

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