137 Open source projects that are alternatives of or similar to Pytorch Acnn Model

Machine Reading Comprehension in Tensorflow

基于Pytorch和torchtext的自然语言处理深度学习框架。

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

An open relation extraction system

中文实体关系抽取，pytorch，bilstm+attention

Adversarial Training for Neural Relation Extraction

Zero-shot Transfer Learning from English to Arabic

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

基于深度学习的开源中文关系抽取框架

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

Relation Extraction 中文关系提取

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)

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

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

Neural Relation Extraction in Pytorch

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

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

Soft attention mechanism for video caption generation

Text classification using deep learning models in Pytorch

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

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

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

Attention OCR Based On Tensorflow

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

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

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

A neural network to generate captions for an image using CNN and RNN with BEAM Search.

计算机视觉中用到的注意力模块和其他即插即用模块PyTorch Implementation Collection of Attention Module and Plug&Play Module

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

Semantic annotator: Matching CSV to a Wikibase instance (e.g., Wikidata) via Meta-lookup

Full abstract relation extraction from biological texts with bi-affine relation attention networks

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Federated Knowledge Extraction Framework

REx: Relation Extraction. Modernized re-write of the code in the master's thesis: "Relation Extraction using Distant Supervision, SVMs, and Probabalistic First-Order Logic"

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

A collection of research on knowledge graphs

2019百度的关系抽取比赛，使用Pytorch实现苏神的模型，F1在dev集可达到0.75，联合关系抽取，Joint Relation Extraction.

Must-read papers on neural relation extraction (NRE)

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

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

Joint Neural Relation Extraction with Text and KGs

研读顶会论文，复现论文相关代码

Relation Extraction using Deep learning(CNN)

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

Code and dataset of AAAI2019 paper Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification

A Large-Scale Few-Shot Relation Extraction Dataset

Image Captioning based on Bottom-Up and Top-Down Attention model

Neural Machine Translation with Keras

基于深度学习的自然语言处理库

A Structured Self-attentive Sentence Embedding

ECG Classification

Distantly Supervised Relation Extraction

论文实现(ACL2019)：《Matching the Blanks: Distributional Similarity for Relation Learning》

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

瑞金医院MMC人工智能辅助构建知识图谱大赛复赛

Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"

Code & data accompanying the NAACL 2019 paper "Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases"

Deep Visual Attention Prediction (TIP18)