198 Open source projects that are alternatives of or similar to Sequence Labeling Bilstm Crf

reference pytorch code for named entity tagging

a Fairseq fork for sequence tagging/labeling tasks

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

a Deep Learning Framework for Text

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

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。

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.

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF implement in pyotrch

Learning Named Entity Tagger from Domain-Specific Dictionary

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

Inference with state-of-the-art models (pre-trained by LD-Net / AutoNER / VanillaNER / ...)

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

Empower Sequence Labeling with Task-Aware Language Model

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.

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

chatbot_ner: Named Entity Recognition for chatbots.

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

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。

LSTM+CRF NER

LSTM-CRF in PyTorch

PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

Fast + Non-Autoregressive Grammatical Error Correction using BERT. Code and Pre-trained models for paper "Parallel Iterative Edit Models for Local Sequence Transduction": www.aclweb.org/anthology/D19-1435.pdf (EMNLP-IJCNLP 2019)

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。

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

No description or website provided.

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

序列化标注工具，基于PyTorch实现BLSTM-CNN-CRF模型，CoNLL 2003 English NER测试集F1值为91.10%（word and char feature）。

using bilstm-crf,bert and other methods to do sequence tagging task

BERT for Multitask Learning

A Japanese tokenizer based on recurrent neural networks

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

Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling

基于Pytorch和torchtext的知识图谱深度学习框架。

KgCLUE: 大规模中文开源知识图谱问答

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)

Keras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT

👑 spaCy building blocks and visualizers for Streamlit apps

中文 NLP 任务预处理工具包，准确、高效、零使用门槛

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

An elaborate and exhaustive paper list for Named Entity Recognition (NER)

Named Entity Recognition for biomedical entities

使用预训练语言模型ALBERT做中文NER

一套针对中文实体识别的BLSTM-CRF解决方案

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

NER, syntax markup visualizations

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

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

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

A Dataset of German Legal Documents for Named Entity Recognition

Named-entity recognition for Ruby

PyTorch implementation of the paper: Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding. Su Zhu, Ruisheng Cao, Lu Chen and Kai Yu.

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.

fastHan是基于fastNLP与pytorch实现的中文自然语言处理工具，像spacy一样调用方便。

A Vietnamese natural language processing toolkit (NAACL 2018)

Official implementation of the paper “GECToR – Grammatical Error Correction: Tag, Not Rewrite” // Published on BEA15 Workshop (co-located with ACL 2020) https://www.aclweb.org/anthology/2020.bea-1.16.pdf

Language agnostic named entity recognizer

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

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