444 Open source projects that are alternatives of or similar to Monpa

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Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类

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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…

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chatbot_ner: Named Entity Recognition for chatbots.

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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。

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Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

基于Pytorch和torchtext的知识图谱深度学习框架。

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SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm

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

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

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

LSTM-CRF for NER with ConLL-2002 dataset

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.

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

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 Fairseq fork for sequence tagging/labeling tasks

data resource untuk NLP bahasa indonesia

Learning Named Entity Tagger from Domain-Specific Dictionary

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.

中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

Rakuten MA (Python version)

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Simple and Efficient Tensorflow implementations of NER models with tf.estimator and tf.data

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End-to-end neural relation extraction using deep biaffine attention (ECIR 2019)

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A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

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

Named Entity Recognition (NER) task using Bi-LSTM-CRF model implemented in Tensorflow 2.0(tensorflow2.0 +)

Chinese & English Cws Pos Ner Entity Recognition implement using CNN bi-directional lstm and crf model with char embedding.基于字向量的CNN池化双向BiLSTM与CRF模型的网络，可能一体化的完成中文和英文分词，词性标注，实体识别。主要包括原始文本数据，数据转换,训练脚本,预训练模型,可用于序列标注研究.注意：唯一需要实现的逻辑是将用户数据转化为序列模型。分词准确率约为93%，词性标注准确率约为90%，实体标注（在本样本上）约为85%。

Bert-base NLP pipeline for Turkish, Ner, Sentiment Analysis, Question Answering etc.

命名体识别(NER)综述-论文-模型-代码(BiLSTM-CRF/BERT-CRF)-竞赛资源总结-随时更新

NER（命名实体识别）中文语料，一站式获取

Named Entity Recognition for biomedical entities

Jcseg is a light weight NLP framework developed with Java. Provide CJK and English segmentation based on MMSEG algorithm, With also keywords extraction, key sentence extraction, summary extraction implemented based on TEXTRANK algorithm. Jcseg had a build-in http server and search modules for the latest lucene,solr,elasticsearch

An Inplementation of CRF (Conditional Random Fields) in PyTorch 1.0