An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.

Last update: May 30, 2022

Overview

DeepNER

An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.

This repository contains complex Deep Learning models for named entity recognition.

Requirements

Train Models

Train Transformer with CRF

python test_Transformer_CRF.py --num_blocks 2

Train Bilstm with CRF

python test_BiLSTM_CRF.py

fintuning bert with freezing bert Variables

python test_BiLSTM_CRF.py --freeze_bert True

fintuning bert Variables simultaneously

python test_BiLSTM_CRF.py --freeze_bert False

Performances Comparison

models	Precision	Recall	F1-Score
Transformer-CRF(2 Layers)	67.56%	62.88%	65.14%
BiGRU-CRF	91.66%	89.85%	90.75%
BiLSTM-CRF	91.90%	89.85%	90.87%
Bert-BiLSTM-CRF(freeze)	94.56%	95.09%	94.82%
Bert-BiLSTM-CRF(fintuning bert simultaneously)	95.33%	94.69%	95.01%

TODO

Lexicon enhance
Label Attention Network for fine-gained NER
Nested NER

References

Owner

Derrick

GitHub Repository

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An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.

Related tags

Overview

DeepNER

Requirements

Train Models

Performances Comparison

TODO

References

Owner

Derrick

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle

A graph adversarial learning toolbox based on PyTorch and DGL.

Can we visualize a large scientific data set with a surrogate model? We're building a GAN for the Earth's Mantle Convection data set to see if we can!

NovelD: A Simple yet Effective Exploration Criterion

HMLET (Hybrid-Method-of-Linear-and-non-linEar-collaborative-filTering-method)

Deep Reinforcement Learning for Multiplayer Online Battle Arena

Fully Convlutional Neural Networks for state-of-the-art time series classification

Code for NeurIPS 2021 paper "Curriculum Offline Imitation Learning"

NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size

Source code for the Paper: CombOptNet: Fit the Right NP-Hard Problem by Learning Integer Programming Constraints}

An SE(3)-invariant autoencoder for generating the periodic structure of materials

Proto-RL: Reinforcement Learning with Prototypical Representations

This repository contains the official code of the paper Equivariant Subgraph Aggregation Networks (ICLR 2022)

Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments (CoRL 2020)

This repository is a series of notebooks that show solutions for the projects at Dataquest.io.

Alpha-IoU: A Family of Power Intersection over Union Losses for Bounding Box Regression

Orchestrating Distributed Materials Acceleration Platform Tutorial

10th place solution for Google Smartphone Decimeter Challenge at kaggle.

source code for https://arxiv.org/abs/2005.11248 "Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics"