6967 Open source projects that are alternatives of or similar to Bert Multitask Learning

PyTorch repository for text categorization and NER experiments in Turkish and English.

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

MONPA 罔拍是一個提供正體中文斷詞、詞性標註以及命名實體辨識的多任務模型

Snips Python library to extract meaning from text

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

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

LSTM-CRF for NER with ConLL-2002 dataset

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

BNLP is a natural language processing toolkit for Bengali Language.

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

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

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

A Vietnamese natural language processing toolkit (NAACL 2018)

👑 spaCy building blocks and visualizers for Streamlit apps

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

a sklearn wrapper for Google's BERT model

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331

[LREC 2022] An off-the-shelf pre-trained Tweet NLP Toolkit (NER, tokenization, lemmatization, POS tagging, dependency parsing) + Tweebank-NER dataset

Python library for custom entity recognition using Sklearn CRF

CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)

CKIP CoreNLP Toolkits

小时候练手的nlp项目

All NLP you Need Here. 个人实现了一些好玩的NLP demo，目前包含13个NLP应用的pytorch实现

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Deep-Atrous-CNN-NER: Word level model for Named Entity Recognition

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

An NER tool for ancient place names based on Pleiades and Spacy.

Code and data form the paper BERT Got a Date: Introducing Transformers to Temporal Tagging

Code and models for the paper titled "Better Feature Integration for Named Entity Recognition", NAACL 2021.

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

텐서플로2와 머신러닝으로 시작하는 자연어처리 (로지스틱회귀부터 BERT와 GPT3까지) 실습자료

Python library and command-line tool for extracting compounds from scientific literature. Written in Python.

How to build and deploy an anonymization API with FastAPI

COVID-19 Named Entity Recognition for Vietnamese (NAACL 2021)

Named entity recognition (NER) in Russian texts / Определение именованных сущностей (NER) в тексте на русском языке

Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.

simple rule based named entity recognition

Weakly supervised medical named entity classification

Deep Learning Transformer models in MATLAB

Python module for Named Entity Recognition (NER) using natural language processing.

This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.

A Robustly Optimized BERT Pretraining Approach for Vietnamese

KU_NERDY 이동엽, 임희석 (2017 국어 정보 처리 시스템경진대회 금상) - 한글 및 한국어 정보처리 학술대회

Embedding模型代码和学习笔记总结

Named-entity recognition for Ruby

A simple zero-dependency React component for tagging user-defined entities within a block of text.

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

Named Entity Recognition for biomedical entities

Pytorch Implementation of "Adaptive Co-attention Network for Named Entity Recognition in Tweets" (AAAI 2018)

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。

A PyTorch-based toolkit for natural language processing

text generation based on transformer

chatbot_ner: Named Entity Recognition for chatbots.

a Deep Learning Framework for Text

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

NER（命名实体识别）中文语料，一站式获取

Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ