166 Open source projects that are alternatives of or similar to video_music_book_datasets

中文自然语言的实体抽取和意图识别（Natural Language Understanding），可选Bi-LSTM + CRF 或者 IDCNN + CRF

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

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

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

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

details

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.

NER Task with KoBERT (with Naver NLP Challenge dataset)

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

Named Entity Recognition based on dictionaries

a sklearn wrapper for Google's BERT model

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

中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

中文NER的那些事儿

Efficient Contextualized Representation: Language Model Pruning for Sequence Labeling

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

BNLP is a natural language processing toolkit for Bengali Language.

Code for "Reliability-aware Dynamic Feature Composition for Name Tagging" (ACL2019)

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

😋本项目旨在通过Tensorflow基于BiLSTM+CRF实现中文分词、词性标注、命名实体识别（NER）。

Papers and Book to look at when starting NLP 📚

基于Netty+TCP+Protobuf实现的Android IM库，包含Protobuf序列化、TCP拆包与粘包、长连接握手认证、心跳机制、断线重连机制、消息重发机制、读写超时机制、离线消息、线程池等功能。

reference tensorflow code for named entity tagging

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

پیکره بزرگ شناسایی موجودیت‌های نامدار فارسی برچسب خورده

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

Free bio link generator

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.

Named Entity Recognition (LSTM + CRF + FastText) with models for [historic] German

Named Entity Recognition (LSTM + CRF) - Tensorflow

PyTorch solution of named entity recognition task Using Google AI's pre-trained BERT model.

面向中文电子病历的命名实体识别

Spacy pipeline object for extracting values that correspond to a named entity (e.g., birth dates, account numbers, laboratory results)

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。

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

NLP research：基于tensorflow的nlp深度学习项目，支持文本分类/句子匹配/序列标注/文本生成 四大任务

Neural Modeling for Named Entities and Morphology (Hebrew NER)

Medical Concept Annotation Tool

Ner with Bert

Named Entity Recognition (NER) Annotation tool for SpaCy. Generates Traning Data as a JSON which can be readily used.

2019达观杯信息提取第5名代码

搜索所有中文NLP数据集，附常用英文NLP数据集

NER toolkit for HTML data

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

🚀 A powerful Node.js wrapper of https://discords.com/bio

datagrand 2019 information extraction competition rank9

Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)

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%。

COVID-19 Named Entity Recognition for Vietnamese (NAACL 2021)

Lexicon-based Named Entity Recognition

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

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

Awesome Linktree clone made with React ⚛️

ChineseNER based on BERT, with BiLSTM+CRF layer

An NER tool for ancient place names based on Pleiades and Spacy.

机器学习、深度学习基础知识. 推荐系统及nlp相关算法实现

🇷🇺 Punctuation restoration production-ready model for Russian language 🇷🇺

bio, nio到 netty各种使用案例， 包含基础使用案例，各api使用方法，零拷贝，websocket，群聊，私聊，编码，解码，自定义协议，protobuf等使用案例,rpc服务器，客户端等等学习

这是一款基于web的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于字典匹配和正则匹配的自动标注以及用于实现归一化的标准名标注，同时也支持文本的迭代标注和实体的嵌套标注。标注规范可自定义且同类型任务中可“一次创建多次复用”。通过分级实体集合扩大了实体类型的规模，并设计了全新高效的标注方式，提升了用户体验和标注效率。此外，本工具增加了审核环节，可对多人的标注结果进行一致性检验和调整，提高了标注语料的准确率和可靠性。