122 Open source projects that are alternatives of or similar to Lstm Crf Pytorch

LSTM+CRF NER

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

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.

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）。

Chinese word segmentation in tensorflow 2.x

Empower Sequence Labeling with Task-Aware Language Model

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

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.

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

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

reference pytorch code for named entity tagging

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

Basic exercises of chinese information processing

AlpacaTag: An Active Learning-based Crowd Annotation Framework for Sequence Tagging (ACL 2019 Demo)

自然语言处理常见任务（主要包括文本分类，序列标注，自动问答等）解决方案试验田

Java interface for CRFsuite: http://www.chokkan.org/software/crfsuite/

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.

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)

a complete Java port of crfpp(crf++)

Implementation of CRF layer in Keras.

从模型训练到部署，实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

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

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

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

CRF, Partial CRF and Marginal CRF in PyTorch

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

A Dataset of German Legal Documents for Named Entity Recognition

This repo contains a PyTorch implementation of a BiLSTM-CRF model for named entity recognition task.

A Named-Entity Recogniser based on Grobid.

Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)

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…

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.

Benchmark Arabic text diacritization dataset

crf-seg:用于生产环境的中文分词处理工具，可自定义语料、可自定义模型、架构清晰，分词效果好。java编写。

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

Conditional Random Fields as Recurrent Neural Networks (Tensorflow)

a Deep Learning Framework for Text

BERT-BiLSTM-CRF的Keras版实现

a Fairseq fork for sequence tagging/labeling tasks

Learning Named Entity Tagger from Domain-Specific Dictionary

Sequence Labeling in Tensorflow

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

Entity recognition codes for "2019 Datagrand Cup: Text Information Extraction Challenge"

Implementation of NeurIPS 20 paper: Latent Template Induction with Gumbel-CRFs

Tensorflow implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

No description or website provided.

Rust binding to crfsuite

sequence tagging for NER for ULMFiT

GROBID extension for identifying and normalizing physical quantities.

开源中文分词工具包，中文分词Web API，Lucene中文分词，中英文混合分词

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)

把李航老师《统计学习方法》的后几章的算法都用java实现了一遍，实现盒子与球的EM算法，扩展到去GMM训练，后来实现了HMM分词（实现了HMM分词的参数训练）和CRF分词（借用CRF++训练的参数模型），最后利用tensorFlow把BiLSTM+CRF实现了，然后为lucene包装了一个XinAnalyzer

基于vue3 element plus的快速表单生成器

keras+bi-lstm+crf，中文命名实体识别

A HMM-like linear-chain CRF, used Tensorflow API. 🐣

implemented some computer vision problems

中文NER的那些事儿

《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/FM/FFM)的原理讲解与python和类库实现

C++ based implementation of StatNLP framework