The prediction of function tags is a key component of several natural language tasks. In this study, Conditional Random Fields are employed for Turkish sentences. The affects of the size of training set, the usage of morphological features of the words are investigated. As a result, we achieved 75% success ratio on our datasets having 2000 simple sentences.
Natural language processing dependency parsing artificial intelligence sequence labeling conditional random fields.
Birincil Dil | İngilizce |
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Bölüm | Research Articles |
Yazarlar | |
Yayımlanma Tarihi | 1 Mart 2014 |
Gönderilme Tarihi | 19 Haziran 2013 |
Yayımlandığı Sayı | Yıl 2014 Cilt: 32 Sayı: 1 |
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