298 Open source projects that are alternatives of or similar to Multi Task Nlp

Learning Named Entity Tagger from Domain-Specific Dictionary

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

A Japanese tokenizer based on recurrent neural networks

Sequence Labeling in Tensorflow

chatbot_ner: Named Entity Recognition for chatbots.

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.

Hierarchically-Refined Label Attention Network for Sequence Labeling

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

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

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.

DaNLP is a repository for Natural Language Processing resources for the Danish Language.

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

Deep neural models for core NLP tasks (Pytorch version)

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

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

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.

A suite of Arabic natural language processing tools developed by the CAMeL Lab at New York University Abu Dhabi.

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

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

The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.

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

simple rule based named entity recognition

💫 Industrial-strength Natural Language Processing (NLP) in Python

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

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

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.

基于深度学习的自然语言处理库

پیکره بزرگ شناسایی موجودیت‌های نامدار فارسی برچسب خورده

The CRF Layer was implemented by using Chainer 2.0. Please see more details here: https://createmomo.github.io/2017/09/12/CRF_Layer_on_the_Top_of_BiLSTM_1/

Named Entity Recognition data for Europeana Newspapers

MONPA 罔拍是一個提供正體中文斷詞、詞性標註以及命名實體辨識的多任務模型

a sklearn wrapper for Google's BERT model

👩‍🏫 Advanced NLP with spaCy: A free online course

A simple NLP library allows profiling datasets with one or more text columns. When given a dataset and a column name containing text data, NLP Profiler will return either high-level insights or low-level/granular statistical information about the text in that column.

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。

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

Named Entity Recognition based on dictionaries

An NLP library for the Urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible.

GERBIL - General Entity annotatoR Benchmark

data resource untuk NLP bahasa indonesia

TriggerNER: Learning with Entity Triggers as Explanations for Named Entity Recognition (ACL 2020)

Helsinki Prosody Corpus and A System for Predicting Prosodic Prominence from Text

百度NLP：分词，词性标注，命名实体识别，词重要性

fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.

基于Bi-GRU + CRF 的中文机构名、人名识别, 支持google bert模型

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.😏

基于BI-LSTM+CRF的中文命名实体识别 Pytorch

Multi-Task Deep Neural Networks for Natural Language Understanding

BNLP is a natural language processing toolkit for Bengali Language.

中文自然语言处理工具包 Toolkit for Chinese natural language processing

System for Medical Concept Extraction and Linking

ChineseNER based on BERT, with BiLSTM+CRF layer

State of the Art Natural Language Processing

An implementation of a full named-entity evaluation metrics based on SemEval'13 Task 9 - not at tag/token level but considering all the tokens that are part of the named-entity

Vietnamese NLP Toolkit for Node

My solution to the Natural Language Processing course made by Dan Jurafsky, Chris Manning in Winter 2012.

A curated list of NLP resources for Hungarian

中文分词 词性标注 命名实体识别 依存句法分析 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 自然语言处理

A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)