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());            // ...        }    }}

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