Comments (9)
heyLinsir
commented on June 1, 2024
- 您不需要生成自己的Word_Sense_Sememe_File，这个文件是通用的，它是直接从HowNet中抽取得到，一般来讲足以覆盖新的语料。
- 可以直接使用我提供的Word_Sense_Sememe_File做对齐，它包含了HowNet中的所有词。
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gqh1995
commented on June 1, 2024
谢谢解答！
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commented on June 1, 2024
您好，我不知道是不是我理解有误：
Word_Sense_Sememe_File 文件中，有一些我无法理解的现象，比如第12行的
“也 1”
“也”字可以理解为词，但是后面紧跟着的数字“1”怎么解释呢？
我发现 Word_Sense_Sememe_File 文件后面存在很多这样的情况——一个词后面跟着一个数字1——这应该怎么理解？
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gqh1995
commented on June 1, 2024
表示在hownet里没有对这个词的解释，只有一个词，没有对应的sense和sememe，所以标1
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commented on June 1, 2024
谢谢指教！
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commented on June 1, 2024
如果“在hownet里没有对这个词的解释”，那么 SE-WRL 模型应该怎么训练这个词的 embedding 呢？
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heyLinsir
commented on June 1, 2024
模型随机初始化这个词的embedding，每次预测这个单词的出现概率的时候，都会用这个embedding作为在当前上下文环境下的词表示。因为我们认为这个单词只有一个含义，所以词表示不会随着上下文变化而改变。训练过程和skip-gram类似。
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commented on June 1, 2024
谢谢您耐心的解答！
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MingleiLI
commented on June 1, 2024
建议加一个文件格式说明的文件。
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Related Issues (20)
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