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44 Open 79 Closed
44 Open 79 Closed
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Issues list

编译后台服务报错
#130 opened Oct 21, 2019 by lingyiliu016
3
你好，楼主，请问一下如果自己编写py文件，除了添加build文件内容，还需要配置其他信息吗，我这边自己编写的py文件编译后运行一直报w2v包不存在的错误
#129 opened May 4, 2019 by sunnyzzf
关于demo接口问题
#128 opened Feb 27, 2019 by lovejing0306
词性标注模型下载 (临时方案，后续文档给出词性标注模型训练，导出等）
#127 opened Oct 23, 2018 by lili1234567890
语料准备相关问题
#125 opened Aug 29, 2018 by dreambander
error C++ compilation of rule '@protobuf//:protobuf' failed (Exit 2). cl: 命令行 error D8021 :无效的数值参数“/Wwrite-strings”
#122 opened Jun 22, 2018 by thomas1984
2
std::ifstream in("/home/work/test/nlu-ner/train_and_dict/model/origin_corpus/origin_corpus");
#121 opened Jun 19, 2018 by lili1234567890
3
关于模型导出--output_node_names "transitions,Reshape_9" "transitions,Reshape_7" 什么意思
#117 opened Apr 10, 2018 by forever1dream
3
大神，好，训练模型后如何使用模型呢？
#116 opened Apr 8, 2018 by wangwisdom
9
能不能提供一个通用Python训练代码啊
#115 opened Apr 3, 2018 by forever1dream
4
添加语料训练，准确率只有37%左右
#114 opened Mar 30, 2018 by LiuM226
python版本问题
#113 opened Mar 26, 2018 by CrazyMJim
kcws除了分词之外，有关键词提取、文本摘要、文件聚类等功能吗
#112 opened Mar 12, 2018 by yao8822
1
大神解释下basic_string_util.h 头文件中u8tou16 和u16tou8 这两个函数的意义
#111 opened Mar 8, 2018 by forever1dream
1
bazel build //kcws/cc:seg_backend_api 编译报错
#109 opened Feb 28, 2018 by yao8822
6
模型重复训练
#107 opened Jan 12, 2018 by LiuM226
5
ubuntu16.04 bazel build kcws/cc:back_end_api 错误， google-protobuf编译失败
#106 opened Jan 6, 2018 by jackycaf
2
修改代码 支持python3.5以上版本
#105 opened Jan 6, 2018 by jackycaf
2
运行到./bazel-bin/kcws/train/generate_training vec.txt <语料目录> all.txt报错，求教ing
#103 opened Dec 7, 2017 by xiahaobo
5
训练的准确率91%，实际测试效果和与作者提供的demo有点差距，请问大神如何能达到和demo一样的效果
#102 opened Dec 2, 2017 by midsummer128
9
训练的准确率一直在37%左右，实测分词的效果也很差
#99 opened Nov 22, 2017 by lipengyuntian
1
关于自定义词典
#97 opened Nov 14, 2017 by ffxmm
2
ss[0] 是上一行的char，second就记录的是上一行的id
#91 opened Oct 10, 2017 by changfengfeng
tf挂起整个进程不报错又不执行
#89 opened Sep 30, 2017 by kinghuangdd
1
中文分词web service 运行卡住不动 哪毛病？
#88 opened Sep 30, 2017 by kinghuangdd
ProTip! Adding no:label will show everything without a label.