An overview on text coherence methods
محل انتشار: هشتمین کنفرانس بین المللی فناوری اطلاعات ودانش
سال انتشار: 1395
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 756
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شناسه ملی سند علمی:
ICIKT08_001
تاریخ نمایه سازی: 5 بهمن 1395
چکیده مقاله:
the increasing availability of texts generated in many aria and online information has necessitated intensive research in the area of automatic text coherence identification within the Natural Language Processing (NLP) community. Over the past two decades, the problem has been addressed from many different perspectives, in varying domains and using various paradigms such as text summarization, text simplification, text generation and machine translation. This survey intends to investigate some of the most relevant approaches both in the areas of semantic and syntactic text coherence recognition methods, giving special emphasis to empirical methods and syntactic techniques. Special attention is devoted to categorize and classify of proposed methods, as future research on coherence and cohesion of texts is strongly dependent on progress in this area.
کلیدواژه ها:
نویسندگان
Mohamad Abdolahi
Kharazmi International Campus Shahrood University of Technology Shahrood. Iran
Morteza Zahedi
Kharazmi International Campus Shahrood University of Technology Shahrood. Iran