nlp - 从复杂（混合）句子中提取简单句子的算法？

Question

有没有一种算法可以用来从段落中提取简单的句子？

我的最终目标是稍后对生成的简单句子运行另一个算法来确定作者的情绪。

我从 Chae-Deug Park 等来源对此进行了研究，但没有人讨论将简单的句子作为训练数据。

提前致谢

score 2 · Accepted Answer

看看Apache OpenNLP，它有一个 Sentence Detector 模块。该文档提供了如何从命令行和 API 使用它的示例。

score 1 · Accepted Answer

我刚刚使用了openNLP。

public static List<String> breakIntoSentencesOpenNlp(String paragraph) throws FileNotFoundException, IOException,
        InvalidFormatException {

    InputStream is = new FileInputStream("resources/models/en-sent.bin");
    SentenceModel model = new SentenceModel(is);
    SentenceDetectorME sdetector = new SentenceDetectorME(model);

    String[] sentDetect = sdetector.sentDetect(paragraph);
    is.close();
    return Arrays.asList(sentDetect);
}

例子

    //Failed at Hi.
    paragraph = "Hi. How are you? This is Mike.";
    SentenceDetector.breakIntoSentencesOpenNlp(paragraph).forEach(sentence -> System.out.println(sentence));

    //Failed at Door.Noone
    paragraph = "Close the Door.Noone is out there";
    SentenceDetector.breakIntoSentencesOpenNlp(paragraph).forEach(sentence -> System.out.println(sentence));//not able to break on noone

    paragraph = "Really!! I cant believe. Mr. Wilson can come any moment to receive mrs. watson.";
    SentenceDetector.breakIntoSentencesOpenNlp(paragraph).forEach(sentence -> System.out.println(sentence));

    //Failed at dr.
    paragraph = "Radhika, Mohan, and Shaik went to meet dr. Kashyap to raise fund for poor patients.";
    SentenceDetector.breakIntoSentencesOpenNlp(paragraph).forEach(sentence -> System.out.println(sentence));//breaking on dr.

    paragraph = "This is how I tried to split a paragraph into a sentence. But, there is a problem. My paragraph includes dates like Jan.13, 2014 , words like U.S. and numbers like 2.2. They all got splitted by the above code.";
    SentenceDetector.breakIntoSentencesOpenNlp(paragraph).forEach(sentence -> System.out.println(sentence));//breaking on dr.

    paragraph = "www.thinkzarahatke.com is the second site I developed. You can send mail to admin@thinkzarahatke.com";
    SentenceDetector.breakIntoSentencesOpenNlp(paragraph).forEach(sentence -> System.out.println(sentence));

只有在出现人为错误时才会失败。例如。“博士。” 缩写应大写 D，且 2 个句子之间应至少有 1 个空格。

您也可以通过以下方式使用RE实现它；

public static List<String> breakIntoSentencesCustomRESplitter(String paragraph){
    List<String> sentences = new ArrayList<String>();
    Pattern re = Pattern.compile("[^.!?\\s][^.!?]*(?:[.!?](?!['\"]?\\s|$)[^.!?]*)*[.!?]?['\"]?(?=\\s|$)", Pattern.MULTILINE | Pattern.COMMENTS);
    Matcher reMatcher = re.matcher(paragraph);
    while (reMatcher.find()) {
        sentences.add(reMatcher.group());
    }
    return sentences;

}

例子

    paragraph = "Hi. How are you? This is Mike.";
    SentenceDetector.breakIntoSentencesCustomRESplitter(paragraph).forEach(sentence -> System.out.println(sentence));

    //Failed at Door.Noone
    paragraph = "Close the Door.Noone is out there";
    SentenceDetector.breakIntoSentencesCustomRESplitter(paragraph).forEach(sentence -> System.out.println(sentence));

    //Failed at Mr., mrs.
    paragraph = "Really!! I cant believe. Mr. Wilson can come any moment to receive mrs. watson.";
    SentenceDetector.breakIntoSentencesCustomRESplitter(paragraph).forEach(sentence -> System.out.println(sentence));

    //Failed at dr.
    paragraph = "Radhika, Mohan, and Shaik went to meet dr. Kashyap to raise fund for poor patients.";
    SentenceDetector.breakIntoSentencesCustomRESplitter(paragraph).forEach(sentence -> System.out.println(sentence));

    //Failed at U.S.
    paragraph = "This is how I tried to split a paragraph into a sentence. But, there is a problem. My paragraph includes dates like Jan.13, 2014 , words like U.S. and numbers like 2.2. They all got splitted by the above code.";
    SentenceDetector.breakIntoSentencesCustomRESplitter(paragraph).forEach(sentence -> System.out.println(sentence));

    paragraph = "www.thinkzarahatke.com is the second site I developed. You can send mail to admin@thinkzarahatke.com";
    SentenceDetector.breakIntoSentencesCustomRESplitter(paragraph).forEach(sentence -> System.out.println(sentence));

但是错误是有竞争力的。另一种方法是使用 BreakIterator；

public static List<String> breakIntoSentencesBreakIterator(String paragraph){
    List<String> sentences = new ArrayList<String>();
    BreakIterator sentenceIterator =
            BreakIterator.getSentenceInstance(Locale.ENGLISH);
    BreakIterator sentenceInstance = sentenceIterator.getSentenceInstance();
    sentenceInstance.setText(paragraph);

    int end = sentenceInstance.last();
     for (int start = sentenceInstance.previous();
          start != BreakIterator.DONE;
          end = start, start = sentenceInstance.previous()) {
         sentences.add(paragraph.substring(start,end));
     }

     return sentences;
}

例子：

    paragraph = "Hi. How are you? This is Mike.";
    SentenceDetector.breakIntoSentencesBreakIterator(paragraph).forEach(sentence -> System.out.println(sentence));

    //Failed at Door.Noone
    paragraph = "Close the Door.Noone is out there";
    SentenceDetector.breakIntoSentencesBreakIterator(paragraph).forEach(sentence -> System.out.println(sentence));

    //Failed at Mr.
    paragraph = "Really!! I cant believe. Mr. Wilson can come any moment to receive mrs. watson.";
    SentenceDetector.breakIntoSentencesBreakIterator(paragraph).forEach(sentence -> System.out.println(sentence));

    //Failed at dr.
    paragraph = "Radhika, Mohan, and Shaik went to meet dr. Kashyap to raise fund for poor patients.";
    SentenceDetector.breakIntoSentencesBreakIterator(paragraph).forEach(sentence -> System.out.println(sentence));


    paragraph = "This is how I tried to split a paragraph into a sentence. But, there is a problem. My paragraph includes dates like Jan.13, 2014 , words like U.S. and numbers like 2.2. They all got splitted by the above code.";
    SentenceDetector.breakIntoSentencesBreakIterator(paragraph).forEach(sentence -> System.out.println(sentence));

    paragraph = "www.thinkzarahatke.com is the second site I developed. You can send mail to admin@thinkzarahatke.com";
    SentenceDetector.breakIntoSentencesBreakIterator(paragraph).forEach(sentence -> System.out.println(sentence));

基准测试：

自定义 RE：7 毫秒
中断迭代器：143 毫秒
openNlp：255 毫秒

nlp - 从复杂（混合）句子中提取简单句子的算法？

2 回答 2

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