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Echo's Projects

996.icu icon 996.icu

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

agriculture_knowledgegraph icon agriculture_knowledgegraph

农业知识图谱(KG):农业领域的信息检索,命名实体识别,关系抽取,分类树构建,数据挖掘

anyq icon anyq

FAQ-based Question Answering System

athena icon athena

an open-source implementation of sequence-to-sequence based speech processing engine

bert-kbqa-nlpcc2017 icon bert-kbqa-nlpcc2017

A trial of kbqa based on bert for NLPCC2016/2017 Task 5 (基于BERT的中文知识库问答实践,代码可跑通)

chat-haruhi-suzumiya icon chat-haruhi-suzumiya

Chat凉宫春日, 由李鲁鲁, 冷子昂等同学开发的模仿二次元对话的聊天机器人。

chinamobilephonenumberregex icon chinamobilephonenumberregex

Regular expressions that match the mobile phone number in mainland China. / 一组匹配**大陆手机号码的正则表达式。

chinese-bert-wwm icon chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)

chinesener icon chinesener

中文命名实体识别,实体抽取,tensorflow,pytorch,BiLSTM+CRF

cluecorpus2020 icon cluecorpus2020

Large-scale Pre-training Corpus for Chinese 100G 中文预训练语料

cluepretrainedmodels icon cluepretrainedmodels

高质量中文预训练模型集合:最先进大模型、最快小模型、相似度专门模型

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

hanlp icon hanlp

中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

joie-kdd19 icon joie-kdd19

Code and dataset for paper "Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts" published in KDD'2019.

matchzoo icon matchzoo

Facilitating the design, comparison and sharing of deep text matching models.

modelscope-agent icon modelscope-agent

ModelScope-Agent(开源版GPTs): An agent framework connecting models in ModelScope with the world

ner icon ner

基于tensorflow深度学习的中文的命名实体识别

nlp-datasets icon nlp-datasets

A list of datasets/corpora for NLP tasks, in reverse chronological order.

openke icon openke

An Open-Source Package for Knowledge Embedding (KE)

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