Sequence Labeling Python Packages

seqeval

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

nagisa

A Japanese tokenizer based on recurrent neural networks

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

adaseq

AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models

bi-lstm-crf

A PyTorch implementation of the BI-LSTM-CRF model.

chaine

Linear-chain conditional random fields (CRF) for natural language processing

delft

a Deep Learning Framework for Text https://delft.readthedocs.io/

kashgari

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.

spanwend

Convert between sequence tags and spans, with validation and repair for BIO, BILOU, IOB1, and related schemes

slovorez

Neural morpheme segmentation for Russian. Lightweight, CPU/ONNX, C++ core.

morphseg

An efficient and easy-to-use morpheme segmentation library

transformers-keras

Transformer-based models implemented in tensorflow 2.x(using keras).

band

BAND：BERT Application aNd Deployment, A simple and efficient BERT model training and deployment framework.

group-appeal-detector

Python package to automatically detect presence and location of a social group mention in political text as well as the author's stance toward the referenced group and the qualitative group category.

kashgari-tf

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.

anago

Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.

lightner

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

qiznlp

Quick run NLP in many task 快速运行分类、序列标注、匹配、生成等NLP任务的Tensorflow框架 (中文 NLP 支持分布式）

iohmm

Input Output Hidden Markov Model (IOHMM) in Python

nerval

Python framework to evaluate Named Entity Recognition (NER) models. Creates entity-level confusion matrix and classification report.

nlp-toolkit

Basic NLP Toolkits include text classification, sequence labeling etc.

econll

Extended CoNLL Utilities for Shallow Parsing

fasthmm

A python package for HMM model with fast train and decoding implementation

musket-text

Text support for Musket ML