Question

是否有可用于从段落中提取简单句子的算法？

我的最终目标是稍后在结果简单句子上运行另一种算法来确定作者的情绪。

我从Chae-Deug Park这样的来源研究过这个问题，但没有人讨论过准备简单的句子作为训练数据。

提前致谢

Answer 1

看看Apache OpenNLP，它有一个Sentence Detector模块。该文档包含如何从命令行和API使用它的示例。

Answer 2

我刚刚使用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);
}

实施例

    //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”缩写应该有大写字母D，并且两个句子之间至少有1个空格。

您也可以通过以下方式使用RE来实现它;

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;

}

实施例

    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));

但错误竞争激烈。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;
}

示例：

    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));

<强>基准：

自定义RE：7毫秒
BreakIterator：143 ms
openNlp：255 ms

算法从复杂（混合）句子中提取简单句子？

2 个答案: