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          <dc:title>Automatic Myanmar Text Summarization System With Semantic Roles</dc:title>
          <dc:creator>Naing, May Thu</dc:creator>
          <dc:creator>Thida, Aye</dc:creator>
          <dc:description>Automatic text summarization is to compress thelarger original text into shorter text called assummary. It is the essential researches for NaturalLanguage Processing (NLP). Automatic semanticanalysis of natural language text has received muchattention by NLP community. In proposed Myanmartext summarization system, automatic summarizedtext will produce as mail dairy notes for incomingmail system. Anaphora resolution is a key problemin natural language processing, and hascorrespondingly received a significant amount ofattention in the literature. So, automaticpronominal anaphora resolution in Myanmar textswill be used for summary generation system in thispaper. This system will identify the semanticrelationships, or semantic roles, and fill byconstituents of a sentence within a semantic frameusing Myanmar Verb Frames. So, verb frameresource with annotated semantic roles will bedeveloped for proposed system.</dc:description>
          <dc:date>2014-02-17</dc:date>
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