Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   introduce an unsupervised learning approach for WordNet construction. The whole construction method is an Expectation Maximization (EM) approach which uses Princeton WordNet 3.0 (PWN) and a corpus as the data source for unsupervised learning. The proposed method can be used to construct WordNet in any language. Links beten PWN synsets and target language words are extracted using a bilingual dictionary. For each of these links a parameter is defined that shows probability of selecting PWN synset for target language word in corpus. Model parameters are adjusted in an iterative fashion. In our experiments on Persian language, by selecting 10% of highly probable links trained by the EM method, a Persian WordNet was obtained that covered 7,109 out of 11,076 distinct words and 9,427 distinct PWN synsets with a precision of more than 86%.
['Mortaza Montazery', 'Heshaam Faili']
I am writing a research paper on a idea Unsupervised Learning for Persian WordNet Construction
[{"from": "human", "value": "I am writing a research paper on a idea Unsupervised Learning for Persian WordNet Construction"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:   introduce an unsupervised learning approach for WordNet construction. The whole construction method is an Expectation Maximization (EM) approach which uses Princeton WordNet 3.0 (PWN) and a corpus as the data source for unsupervised learning. The proposed method can be used to construct WordNet in any language. Links beten PWN synsets and target language words are extracted using a bilingual dictionary. For each of these links a parameter is defined that shows probability of selecting PWN synset for target language word in corpus. Model parameters are adjusted in an iterative fashion. In our experiments on Persian language, by selecting 10% of highly probable links trained by the EM method, a Persian WordNet was obtained that covered 7,109 out of 11,076 distinct words and 9,427 distinct PWN synsets with a precision of more than 86%."}]