303 Open source projects that are alternatives of or similar to AlpacaTag

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.

No description or website provided.

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

Deep neural models for core NLP tasks (Pytorch version)

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

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.

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

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

Learning Named Entity Tagger from Domain-Specific Dictionary

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

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

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.

Sequence Labeling in Tensorflow

Hierarchically-Refined Label Attention Network for Sequence Labeling

A TensorFlow implementation of Neural Sequence Labeling model, which is able to tackle sequence labeling tasks such as POS Tagging, Chunking, NER, Punctuation Restoration and etc.

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

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

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

🌈 Implementation of Neural Network based Named Entity Recognizer (Lample+, 2016) using Chainer.

How to build and deploy an anonymization API with FastAPI

No description or website provided.

The Chinese edition of The Internet and New Social Formation in China (粉丝公众), authored by Weiyu Zhang, translated by the CNPolitics translation team.

tools for fast reading of docs

YouPin on the web

Information Extraction System can perform NLP tasks like Named Entity Recognition, Sentence Simplification, Relation Extraction etc.

Twitter named entity extraction for WNUT 2016 http://noisy-text.github.io/2016/ner-shared-task.html

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

Benchmark Arabic text diacritization dataset

小时候练手的nlp项目

JCLAL is a general purpose framework developed in Java for Active Learning.

Chinese word segmentation in tensorflow 2.x

Tool for slot extraction from text

CogIE: An Information Extraction Toolkit for Bridging Text and CogNet. ACL 2021

NLP Cheat Sheet, Python, spacy, LexNPL, NLTK, tokenization, stemming, sentence detection, named entity recognition

A project on achieving Named-Entity Recognition using Deep Learning.

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

การต่อเพลงไทยที่ยาวที่สุดในประวัติศาสตร์

Python module for data scientists for quick creating annotation projects.

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

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

远程工作空间

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

Implementation of Nested Named Entity Recognition using Flair

An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.

Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.

A set of tools for leveraging pre-trained embeddings, active learning and model explainability for effecient document classification

sequence tagging for NER for ULMFiT

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

Active Learning in R

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

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

A near real-time named-entity recognizer

The Chinese edition of Live Working or Die Fighting: How the Working Class Went Global (劳工的全球化), authored by Paul Mason, translated by the CNPolitics translation team.

A Vue component for crowdsourcing Web Annotations.

🦜 Containerized HTTP API for industrial-strength NLP via spaCy and sense2vec

자연어 처리와 텍스트 분석을 위한 오픈소스 파이썬 라이브러리 입니다.

See http://github.com/onurgu/joint-ner-and-md-tagger This repository is basically a Bi-LSTM based sequence tagger in both Tensorflow and Dynet which can utilize several sources of information about each word unit like word embeddings, character based embeddings and morphological tags from an FST to obtain the representation for that specific wor…

simple rule based named entity recognition

Information extraction pipeline containing coreference resolution, named entity linking, and relationship extraction