Stanford NLP 安装与初步使用
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1.如何使用CoreNLP工具
通过Maven来使用
后面两个dependency是导入model用的，支持的语言包括英语、汉语、法语、西班牙语和德语。默认情况下CoreNLP是支持英语的，其他语言的model需要独立下载。
<dependency>
<groupId>edu.stanford.nlp</groupId>
<artifactId>stanford-corenlp</artifactId>
<version>3.6.0</version>
</dependency>
<dependency>
<groupId>edu.stanford.nlp</groupId>
<artifactId>stanford-corenlp</artifactId>
<version>3.6.0</version>
<classifier>models</classifier>
</dependency>
<!-- 解析中文需要下面这个包 -->
<dependency>
<groupId>edu.stanford.nlp</groupId>
<artifactId>stanford-corenlp</artifactId>
<version>3.6.0</version>
<classifier>models-chinese</classifier>
</dependency>
<!-- 使用 Simple CoreNLP API 需要而外下面两个包 -->
<dependency>
<groupId>org.slf4j</groupId>
<artifactId>slf4j-nop</artifactId>
<version>1.7.12</version>
</dependency>
<dependency>
<groupId>com.google.protobuf</groupId>
<artifactId>protobuf-java</artifactId>
<version>3.1.0</version>
</dependency>2.简单上手CoreNLP
在代码中使用Simple CoreNLP API
顾名思义，Simple CoreNLP API是相对于Stanford CoreNLP API比较简单的API操作方式。
import edu.stanford.nlp.simple.*;
public class SimpleCoreNLPDemo {
public static void main(String[] args) {
// Create a document. No computation is done yet.
Document doc = new Document("add your text here! It can contain multiple sentences.");
for (Sentence sent : doc.sentences()) { // Will iterate over two sentences
// We're only asking for words -- no need to load any models yet
System.out.println("The second word of the sentence '" + sent + "' is " + sent.word(1));
// When we ask for the lemma, it will load and run the part of speech tagger
System.out.println("The third lemma of the sentence '" + sent + "' is " + sent.lemma(2));
// When we ask for the parse, it will load and run the parser
System.out.println("The parse of the sentence '" + sent + "' is " + sent.parse());
// ...
}
}
}全部评论 (0)
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