從複雜（混合）句子中提取簡單句子的算法？

Question

有沒有一種算法可以用來從段落中提取簡單的句子？

我的最終目標是稍後在結果的簡單句子上運行另一個算法來確定作者的情緒。

我已經從Chae-Deug Park等來源研究過這些，但沒有討論過將簡單句子作爲訓練數據進行討論。

在此先感謝

Answer 1

我剛剛使用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); 
} 

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)); 

它失敗時，纔會有人類的錯誤。例如。 「博士」縮寫應該有大寫字母D，並且在2個句子之間至少有1個空格。

您也可以通過以下方式使用RE來實現它;

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

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)); 

但錯誤是競爭力高。另一種方法是使用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; 
} 

實施例：

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)); 

標杆：

• 定製RE：7毫秒
• 的BreakIterator：143毫秒
• openNlp：255毫秒

Answer 2

看看Apache OpenNLP，它有一個句子的檢測器模塊。該文檔提供瞭如何從命令行和API使用它的示例。