从Tagger获取其他信息(主动/被动，时态...) [英] Getting additional information (Active/Passive, Tenses ...) from a Tagger

问题描述

我正在使用斯坦福工具(Stanford Tagger)确定词性.但是，我想从文本中获取更多信息.是否有可能获得更多信息，例如句子的时态，或者它是处于主动/被动状态?

I'm using the Stanford Tagger for determining the Parts of Speech. However, I want to get more information out of the text. Is there a possibility to get further information like the tense of the sentence or if it is in active/passive?

到目前为止，我使用的是非常基本的PoS标记方法:

So far, I'm using the very basic PoS-Tagging approach:

List<List<TaggedWord>> taggedUnits = new ArrayList<List<TaggedWord>>();

String input = "This sentence is going to be future. The door was opened.";
for (List<HasWord> sentence : MaxentTagger.tokenizeText(new StringReader(input)))
{
     taggedUnits.add(tagger.tagSentence(sentence));
}

推荐答案

您可以从各种penn标记中获取紧张的信息:

You can get tense information from the various penn tags:

27. VB  Verb, base form
28. VBD Verb, past tense
29. VBG Verb, gerund or present participle
30. VBN Verb, past participle
31. VBP Verb, non-3rd person singular present
32. VBZ Verb, 3rd person singular present

关于主动/被动方面，您可以使用Stanford Core NLP中包含的类型化依赖项.

About the active/passive aspect, you can use typed dependencies included in Stanford Core NLP.

1. 如果句子是主动语态，则应该存在'nsubj'依赖.
2. 如果句子是被动语态，则应使用'nsubjpass'依赖项 存在

1. If the sentence is in active voice, a 'nsubj' dependecy should exist.
2. If the sentence is in passive voice a 'nsubjpass' dependency should exist

希望这会有所帮助.

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