Dynamic Similarity Threshold in Authorship Verification: Evidence from Classical Arabic
نویسندگان
چکیده
منابع مشابه
Authorship Verification, Average Similarity Analysis
Authorship analysis is an important task for different text applications, for example in the field of digital forensic text analysis. Hence, we propose an authorship analysis method that compares the average similarity of a text of unknown authorship with all the text of an author. Using this idea, a text that was not written by an author, would not exceed the average of similarity with known t...
متن کاملAuthorship Verification, combining Linguistic Features and Different Similarity Functions
Authorship analysis is an important task for different text applications, for example in the field of digital forensic text analysis. Hence, we propose an authorship analysis method that compares the average similarity of a text of unknown authorship with all the texts of an author. Using this idea, a text that was not written by an author, would not exceed the average of similarity with known ...
متن کاملThreshold Effects in Sticky Information Philips Curve: Evidence from Iran
During the last decade, several studies have argued that sticky information model proposed by Mankiw and Reis (2002), in which firms update their information occasionally rather than instantaneously, explains some stylized facts about the inflation dynamics. Sticky information pricing model successfully captures the sluggish movement of aggregate prices in response to monetary policy shocks. De...
متن کاملDistractorless Authorship Verification
Authorship verification is the task of, given a document and a candidate author, determining whether or not the document was written by the candidate author. Traditional approaches to authorship verification have revolved around a “candidate author vs. everything else” approach. Thus, perhaps the most important aspect of performing authorship verification on a document is the development of an ...
متن کاملEvent Extraction from Classical Arabic Texts
Event extraction is one of the most useful and challenging Information Extraction (IE) tasks that can be used in many natural language processing applications in particular semantic search systems. Most of the developed systems in this field extract events from English texts; therefore, in many other languages in particular Arabic there is a need for research in this area. In this paper, we dev...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2017
ISSN: 1877-0509
DOI: 10.1016/j.procs.2017.10.103