کاهانی, محسن
دانشگاه فردوسی مشهد
[ 1 ] - نقش ارتباطات معنایی در بهبود نتایج یک سیستم پیشنهاد استناد- مقاله برگزیده هفدهمین کنفرانس ملی انجمن کامپیوتر ایران
With the increasingly growth of scientific documents in the Web, it is difficult to select a concerned document. A citation recommendation system receives a text and recommends documents to be cited by the text. Such recommendation helps a researcher in hitting his/her concerned texts. Based on sematic relations, this paper presents a new indicator to measure the similarity between documents an...
[ 2 ] - حس‌نگار : شبکه واژگان حسی فارسی
Awareness of others' opinions plays a crucial role in the decision making process performed by simple customers to top-level executives of manufacturing companies and various organizations. Today, with the advent of Web 2.0 and the expansion of social networks, a vast number of texts related to people's opinions have been created. However, exploring the enormous amount of documents, various opi...
[ 3 ] - دسته‌بندی پرسش‌ها با استفاده از ترکیب دسته‌بندها
Question answering systems are produced and developed to provide exact answers to the question posted in natural language. One of the most important parts of question answering systems is question classification. The purpose of question classification is predicting the kind of answer needed for the question in natural language. The literature works can be categorized as rule-based and learning...
[ 4 ] - انتیرانداک: سامانه یکپارچه توسعه مشارکتی هستاننگار فارسی
While ontology development is beneficial, it is very costly and time consuming. In order to reduce this cost as well as to increase the accuracy and quality of ontology development, researchers have proposed different methodologies. The goal of these methodologies is to present a systematic manual or semi-automated development of ontologies, while each differs and has its strengths and weakness...
[ 5 ] - Concept drift detection in business process logs using deep learning
Process mining provides a bridge between process modeling and analysis on the one hand and data mining on the other hand. Process mining aims at discovering, monitoring, and improving real processes by extracting knowledge from event logs. However, as most business processes change over time (e.g. the effects of new legislation, seasonal effects and etc.), traditional process mining techniques ...
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