سلطان زاده, فاطمه
دانشگاه صنعتی شریف
[ 1 ] - ارائۀ راهکاری قاعدهمند جهت تبدیل خودکار درخت تجزیۀ نحوی وابستگی به درخت تجزیۀ نحوی ساختسازهای برای زبان فارسی
In this paper, an automatic method in converting a dependency parse tree into an equivalent phrase structure one, is introduced for the Persian language. In first step, a rule-based algorithm was designed. Then, Persian specific dependency-to-phrase structure conversion rules merged to the algorithm. Subsequently, the Persian dependency treebank with about 30,000 sentences was used as an input ...
[ 2 ] - A Novel Approach to Conditional Random Field-based Named Entity Recognition using Persian Specific Features
Named Entity Recognition is an information extraction technique that identifies name entities in a text. Three popular methods have been conventionally used namely: rule-based, machine-learning-based and hybrid of them to extract named entities from a text. Machine-learning-based methods have good performance in the Persian language if they are trained with good features. To get good performanc...
Co-Authors