使用JWNL獲取WordNet中與動詞相關的所有名詞

Question

我正在使用JWNL（1.4.1 rc2）。給定一個動詞，我需要找到「相關」的名詞。例如，給定動詞：bear我想要名詞birth。

我可以通過WordNet在線界面看到：http://wordnetweb.princeton.edu/perl/webwn?o2=&o0=1&o8=1&o1=1&o7=&o5=&o9=&o6=&o3=&o4=&s=bear&i=8&h=000100000000000000000#c。 JWNL如何做到這一點。

Answer 1

您可以使用Synset的字的每個感測，然後在每個Synset打印出來的字，如下所示：

 
IndexWord indexWord = proc.lookupBaseForm(POS.VERB,"bear"); 
int senseNum = 0; 
for(Synset synset: indexWord.getSenses()){ 
    senseNum++; 
    System.out.println("For sense: " + senseNum + " (" + synset.getGloss()+")"); 
    Word[] words = synset.getWords(); 
    for(Word word: words){ 
     System.out.println("\t"+word.getLemma()+"("+word.getPOS()+")"); 
    } 
} 

這將讓你：

 
For sense: 1 (have; "bear a resemblance"; "bear a signature") 
    bear([POS: verb]) 
For sense: 2 (cause to be born; "My wife had twins yesterday!") 
    give_birth([POS: verb]) 
    deliver([POS: verb]) 
    bear([POS: verb]) 
    birth([POS: verb]) 
    have([POS: verb]) 
For sense: 3 (put up with something or somebody unpleasant; "I cannot bear his constant criticism"; "The new secretary had to endure a lot of unprofessional remarks"; "he learned to tolerate the heat"; "She stuck out two years in a miserable marriage") 
    digest([POS: verb]) 
    endure([POS: verb]) 
    stick_out([POS: verb]) 
    stomach([POS: verb]) 
    bear([POS: verb]) 
    stand([POS: verb]) 
    tolerate([POS: verb]) 
    support([POS: verb]) 
    brook([POS: verb]) 
    abide([POS: verb]) 
    suffer([POS: verb]) 
    put_up([POS: verb]) 
For sense: 4 (move while holding up or supporting; "Bear gifts"; "bear a heavy load"; "bear news"; "bearing orders") 
    bear([POS: verb]) 
For sense: 5 (bring forth, "The apple tree bore delicious apples this year"; "The unidentified plant bore gorgeous flowers") 
    bear([POS: verb]) 
    turn_out([POS: verb]) 
For sense: 6 (take on as one's own the expenses or debts of another person; "I'll accept the charges"; "She agreed to bear the responsibility") 
    bear([POS: verb]) 
    take_over([POS: verb]) 
    accept([POS: verb]) 
    assume([POS: verb]) 
For sense: 7 (contain or hold; have within; "The jar carries wine"; "The canteen holds fresh water"; "This can contains water") 
    hold([POS: verb]) 
    bear([POS: verb]) 
    carry([POS: verb]) 
    contain([POS: verb]) 
For sense: 8 (bring in; "interest-bearing accounts"; "How much does this savings certificate pay annually?") 
    yield([POS: verb]) 
    pay([POS: verb]) 
    bear([POS: verb]) 
For sense: 9 (have on one's person; "He wore a red ribbon"; "bear a scar") 
    wear([POS: verb]) 
    bear([POS: verb]) 
For sense: 10 (behave in a certain manner; "She carried herself well"; "he bore himself with dignity"; "They conducted themselves well during these difficult times") 
    behave([POS: verb]) 
    acquit([POS: verb]) 
    bear([POS: verb]) 
    deport([POS: verb]) 
    conduct([POS: verb]) 
    comport([POS: verb]) 
    carry([POS: verb]) 
For sense: 11 (have rightfully; of rights, titles, and offices; "She bears the title of Duchess"; "He held the governorship for almost a decade") 
    bear([POS: verb]) 
    hold([POS: verb]) 
For sense: 12 (support or hold in a certain manner; "She holds her head high"; "He carried himself upright") 
    hold([POS: verb]) 
    carry([POS: verb]) 
    bear([POS: verb]) 
For sense: 13 (be pregnant with; "She is bearing his child"; "The are expecting another child in January"; "I am carrying his child") 
    have_a_bun_in_the_oven([POS: verb]) 
    bear([POS: verb]) 
    carry([POS: verb]) 
    gestate([POS: verb]) 
    expect([POS: verb]) 

但是，這所有的動詞，因爲我們正在查找動詞。如果你想獲得名詞（如Web版本所示），你應該做一些進一步的步驟。

它被稱爲「morphosemantic」盟友相關字，如this file中定義，如Wordnet website中所述。您可以創建自己的代碼，通過使用該文件中可用的映射來提取morphosemantically相關的單詞。

由於這是超出標準WordNet發行版的額外文件，遺憾的是我相信這不是在JWNL中實現的，所以如果您可以創建一個簡單的代碼來獲取映射，那麼可能是最好的。首先，您可以使用任何電子表格程序（如Excel）將xls文件轉換爲CSV文件。那麼你需要得到這種感覺的感覺鑰匙。不幸的是，JWNL（1.4.1 rc2）沒有簡單的方法來獲得感覺鑰匙。但是，它包含在JWNL（1.4 rc3）中，該類別是Synset中的getSenseKey(lemma)。因此，假設您升級到JWNL 1.4_rc3，你可以這樣做：

HashMap<String,ArrayList<String>> relatedWords = loadMorphosemanticFile(); 
... 
relatedWords.get(word.getSynset().getSenseKey(word.getLemma())) 

將返回一個ArrayList包括：birth%1:28:00::，birth%1:22:00::和birth%1:11:00::這個詞的時候是bear（傳感鍵熊感2 birth ％2：29：01 ::，原因是出生;「我的妻子昨天有雙胞胎！」），它具有意義上的關鍵出生％2：29：00 ::，如使用JWNL 1.4 rc3如下：

 
For sense: bear%2:29:01:: (cause to be born; "My wife had twins yesterday!") 
    give_birth (give_birth%2:29:00::) 
    deliver (deliver%2:29:01::) 
    bear (bear%2:29:01::) 
    birth (birth%2:29:00::) 
    have (have%2:29:00::) 

我從GrepCode

0得到這個很好的資源