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POwordnet relations
 

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  1. POwordnet relations
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    <p>how to generate the more general, less general and equivalence relations from wordnet?</p> <p>wordnet similarity in RitaWordnet gives a number like -1.0, 0.222 or 1.0 but how to arrive at the more general, less general relations between words? which tool would be ideal for that? please help me</p> <p>i get java.lang.NullPointerException, after it prints "the holonyms are"</p> <pre><code>package wordnet; import rita.wordnet.RiWordnet; public class Main { public static void main(String[] args) { try { // Would pass in a PApplet normally, but we don't need to here RiWordnet wordnet = new RiWordnet(); wordnet.setWordnetHome("/usr/share/wordnet/dict"); // Demo finding parts of speech String word = "first name"; System.out.println("\nFinding parts of speech for " + word + "."); String[] partsofspeech = wordnet.getPos(word); for (int i = 0; i &lt; partsofspeech.length; i++) { System.out.println(partsofspeech[i]); } //word = "eat"; String pos = wordnet.getBestPos(word); System.out.println("\n\nDefinitions for " + word + ":"); // Get an array of glosses for a word String[] glosses = wordnet.getAllGlosses(word, pos); // Display all definitions for (int i = 0; i &lt; glosses.length; i++) { System.out.println(glosses[i]); } // Demo finding a list of related words (synonyms) //word = "first name"; String[] poss = wordnet.getPos(word); for (int j = 0; j &lt; poss.length; j++) { System.out.println("\n\nSynonyms for " + word + " (pos: " + poss[j] + ")"); String[] synonyms = wordnet.getAllSynonyms(word, poss[j], 10); for (int i = 0; i &lt; synonyms.length; i++) { System.out.println(synonyms[i]); } } // Demo finding a list of related words // X is Hypernym of Y if every Y is of type X // Hyponym is the inverse //word = "nurse"; pos = wordnet.getBestPos(word); System.out.println("\n\nHyponyms for " + word + ":"); String[] hyponyms = wordnet.getAllHyponyms(word, pos); //System.out.println(hyponyms.length); //if(hyponyms!=null) for (int i = 0; i &lt; hyponyms.length; i++) { System.out.println(hyponyms[i]); } System.out.println("\n\nHypernyms for " + word + ":"); String[] hypernyms = wordnet.getAllHypernyms(word, pos); //if(hypernyms!=null) for (int i = 0; i &lt; hypernyms.length; i++) { System.out.println(hypernyms[i]); } System.out.println("\n\nHolonyms for " + word + ":"); String[] holonyms = wordnet.getAllHolonyms(word, pos); //if(holonyms!=null) for (int i = 0; i &lt; holonyms.length; i++) { System.out.println(holonyms[i]); } System.out.println("\n\nmeronyms for " + word + ":"); String[] meronyms = wordnet.getAllMeronyms(word, pos); if(meronyms!=null) for (int i = 0; i &lt; meronyms.length; i++) { System.out.println(meronyms[i]); } System.out.println("\n\nAntonym for " + word + ":"); String[] antonyms = wordnet.getAllAntonyms(word, pos); if(antonyms!=null) for (int i = 0; i &lt; antonyms.length; i++) { System.out.println(antonyms[i]); } String start = "cameras"; String end = "digital cameras"; pos = wordnet.getBestPos(start); // Wordnet can find relationships between words System.out.println("\n\nRelationship between: " + start + " and " + end); float dist = wordnet.getDistance(start, end, pos); String[] parents = wordnet.getCommonParents(start, end, pos); System.out.println(start + " and " + end + " are related by a distance of: " + dist); // These words have common parents (hyponyms in this case) System.out.println("Common parents: "); if (parents != null) { for (int i = 0; i &lt; parents.length; i++) { System.out.println(parents[i]); } } //wordnet. // System.out.println("\n\nHypernym Tree for " + start); // int[] ids = wordnet.getSenseIds(start,wordnet.NOUN); // wordnet.printHypernymTree(ids[0]); } catch (Exception e) { e.printStackTrace(); } } } </code></pre>
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    1. PTQuestion
    1. USFranco Rondini
    1. USkarthi
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    1. COYou can try the JWI (the MIT Java Wordnet Interface). It is easy to use, in order to get the holonomys or hypernyms you just need to itereate using an iterator!! http://projects.csail.mit.edu/jwi/
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      1. POwordnet relations
      1. USNervo Verdezoto
 

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