Automatic Temporal Relation Extraction of Persian Texts, M.Sc. Thesis Sharif University of Technology ; GhassemSani, Gholamreza (Supervisor)
Abstract
Temporal relation extraction is one of the challenging research topics in natural language processing semantic level. The purpose of this kind of extraction is to find the temporal ordering between text events so that they can be used in various applications such as question answering and summarization systems.Most of early researches in temporal relation extractionaimed at finding a number of rules and templates for every single temporal relation in English texts. However, with the availability of temporal corpora in English and some other natural languages like Chinese, Korean, Italian, etc., the research trend in this field turned towards the use of machine learning methods. Accordingly,...
Cataloging briefAutomatic Temporal Relation Extraction of Persian Texts, M.Sc. Thesis Sharif University of Technology ; GhassemSani, Gholamreza (Supervisor)
Abstract
Temporal relation extraction is one of the challenging research topics in natural language processing semantic level. The purpose of this kind of extraction is to find the temporal ordering between text events so that they can be used in various applications such as question answering and summarization systems.Most of early researches in temporal relation extractionaimed at finding a number of rules and templates for every single temporal relation in English texts. However, with the availability of temporal corpora in English and some other natural languages like Chinese, Korean, Italian, etc., the research trend in this field turned towards the use of machine learning methods. Accordingly,...
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