386 Open source projects that are alternatives of or similar to Jointre

PhoNLP: A BERT-based multi-task learning toolkit for part-of-speech tagging, named entity recognition and dependency parsing (NAACL 2021)

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

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

A PyTorch implementation of GraphRel

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

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

ChineseNER based on BERT, with BiLSTM+CRF layer

پیکره بزرگ شناسایی موجودیت‌های نامدار فارسی برچسب خورده

Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)

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)

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

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。

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.

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

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

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.

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

中文命名实体识别（包括多种模型：HMM，CRF，BiLSTM，BiLSTM+CRF的具体实现）

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

Snips Python library to extract meaning from text

BERT-NER (nert-bert) with google bert https://github.com/google-research.

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

An easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

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

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

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

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

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"

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

Official Stanford NLP Python Library for Many Human Languages

自然语言处理工具Macropodus，基于Albert+BiLSTM+CRF深度学习网络架构，中文分词，词性标注，命名实体识别，新词发现，关键词，文本摘要，文本相似度，科学计算器，中文数字阿拉伯数字(罗马数字)转换，中文繁简转换，拼音转换。tookit(tool) of NLP，CWS(chinese word segnment)，POS(Part-Of-Speech Tagging)，NER(name entity recognition)，Find(new words discovery)，Keyword(keyword extraction)，Summarize(text summarization)，Sim(text similarity)，Calculate(scientific calculator)，Chi2num(chinese number to arabic number)

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

xmnlp：提供中文分词, 词性标注, 命名体识别，情感分析，文本纠错，文本转拼音，文本摘要，偏旁部首等功能

pytorch实现bert做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持GPT2进行文章续写。

基于BERT的中文命名实体识别（pytorch）

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

使用预训练语言模型ALBERT做中文NER

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).

The classical BiLSTM-CRF model implemented in Tensorflow, for sequence labeling tasks. In Vex version, everything is configurable.

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

基于深度学习的自然语言处理库

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, and date/time expressed in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI. Partial support for NL, JA, KO, SV). Contributions are greatly welcome! Packages are available at https://www.nuget.org/profiles/Recognizers.Text and https://www.npmjs.com/~recognizers.text

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

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

a Deep Learning Framework for Text

Named Entity Recognition

Named Entity Recognition using multilayered bidirectional LSTM

Textpipe: clean and extract metadata from text

Must-read papers on neural relation extraction (NRE)

基于深度学习的开源中文关系抽取框架

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

ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)

A Large-Scale Few-Shot Relation Extraction Dataset

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

LanguageCrunch NLP server docker image

自然语言处理、知识图谱、对话系统三大技术研究与应用。

Pytorch-Named-Entity-Recognition-with-BERT

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