Exploring the Potentialities of Automatic Extraction of University Webometric Information
نویسندگان
چکیده
منابع مشابه
analysis of reading comprehension needs of the students of paramedical studies: the case of the students of health information management (him)
چکیده ندارد.
15 صفحه اولexploring motivation and english test preparation strategies of iranian pre-university candidates during and at the end of test preparation period for konkur examination
the current study aimed at investigating the relationship between motivation and test preparation strategies (tpss) used by iranian pre-university students in their preparation period for the university entrance exam (uee). due to the importance of uee in iran, this study also attempted to show its impact on these two important variables. to this end, 100 pre-university students in an iranian p...
the effect of explicit teaching of textual metadiscourse on esap reading comprehension performance of iranian university students
چکیده ندارد.
15 صفحه اولthe speech act of advice and the introvert/extrovert distinction among iranian efl university students
the aim of this study is to examine the difference between the introverts and extroverts in preferred advice-giving style. furthermore, it explores the difference between l1 (persian) and l2 (english) regarding the giving of advice for the extroverts and introverts separately. it investigates whether an extrovert or introvert gives advice in the same manner in his l1 (persian) and l2 (english) ...
Exploring the inference role in automatic information extraction from texts
In this paper we present a novel methodology for automatic information extraction from natural language texts, based on the integration of linguistic rules, multiple ontologies and inference resources, integrated with an abstraction layer for linguistic annotation and data representation. The SAURON system was developed to implement and integrate the methodology phases. The knowledge domain of ...
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: Journal of Data and Information Science
سال: 2020
ISSN: 2543-683X
DOI: 10.2478/jdis-2020-0040