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  • 😄 Interested in natural language processing and knowledge graph

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lightkg's Issues

运行成功

[{'entity': '清明', 'type': 'Time', 'start': 0, 'end': 1}, {'entity': '清明是人', 'type': 'Time', 'start': 0, 'end': 3}, {'entity': '日子', 'type': 'Time', 'start': 8, 'end': 9}]

KRL的数据读入报错 examples = [make_example(line, fields) for line in reader]报错,请问怎么解决

_____________________ ERROR collecting test_krl_transe.py _____________________
test_krl_transe.py:26: in
krl.train(train_path, model_type=model_type, dev_path=train_path, save_path='./krl_{}_saves'.format(model_type))
..........\Anaconda3\envs\python367\lib\site-packages\lightkg\krl\module.py:29: in train
train_dataset = rl_tool.get_dataset(train_path)
..........\Anaconda3\envs\python367\lib\site-packages\lightkg\krl\tool.py:31: in get_dataset
rl_dataset = TabularDataset(path, format=file_type, fields=fields, skip_header=skip_header)
..........\Anaconda3\envs\python367\lib\site-packages\torchtext\data\dataset.py:271: in init
examples = [make_example(line, fields) for line in reader]
..........\Anaconda3\envs\python367\lib\site-packages\torchtext\data\dataset.py:271: in
examples = [make_example(line, fields) for line in reader]
..........\Anaconda3\envs\python367\lib\site-packages\torchtext\utils.py:130: in unicode_csv_reader
csv.field_size_limit(sys.maxsize)
E OverflowError: Python int too large to convert to C long
------------------------------- Captured stderr -------------------------------
[2019-11-13 16:58:36] [INFO] [MainThread] [tool.py:30] loading dataset from C:\Users\Administrator\work\jupyter\study\Untitled Folder\kre\train.sample.csv
!!!!!!!!!!!!!!!!!!! Interrupted: 1 errors during collection !!!!!!!!!!!!!!!!!!!
=========================== 1 error in 3.36 seconds ===========================
Process finished with exit code 0
我的数据和你的一样

科学,包涵,自然、社会、思维等领域
科学,外文名,science
科学,拼音,kē xué
科学,中文名,科学
科学,解释,发现、积累的真理的运用与实践
语法学,外文名,syntactics
语法学,中文名,语法学
物理宇宙学,对象,大尺度结构和宇宙形成
物理宇宙学,时间,二十世纪
物理宇宙学,所属,天体物理学
物理宇宙学,中文名,物理宇宙学
曹禺,出生地,天津
曹禺,毕业院校,清华大学
曹禺,逝世日期,1996年(丙子年)12月13日
曹禺,中文名,万家宝
曹禺,国籍,**

关于预训练字向量

阅读了源代码,对于预训练字向量文件是指根据自己的数据集得到的enbedding 矩阵还是可以直接使用网上下载的预训练字向量文件

数据集

您好,可以提供下/home/lightsmile/NLP/corpus/kg/baike/train.sample.csv'这个数据集吗,感谢!

训练ner错误

在windos报错:RuntimeError: method 'detach' already has a docstring

lightkg安装失败

请问是torch版本兼容的问题吗 用官网指令anaconda安装的torch 然后在terminal安装lighted时候一直报错失败
错误如下
ERROR: Could not find a version that satisfies the requirement torch==1.0.0 (from lightKG) (from versions: 0.1.2, 0.1.2.post1, 0.1.2.post2)
ERROR: No matching distribution found for torch==1.0.0 (from lightKG)

知识存储

请教下,您把知识存储到什么到什么数据库了?Neo4j吗

关于torchtext的vocab

您好 经过几天学习您的代码之后 我尝试在您的代码基础上实现简单的基于梯度攻击的知识图谱攻击
然后我想用求head+relation-tail关于head的导数以确定用于攻击的扰动 就应该用对应的词向量来运算
但是您代码中的self._entity_vocab貌似只是一个保存着词的列表 torch.tensor([self._entity_vocab.stoi[head]])获得的也只是一个关于该词的序号 那么我该怎么获得关于这个词的vectors的向量呢
新手入门尚在学习还请不吝赐教

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