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eshaghzadeh--mahbaneh
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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,...
ISO-TimeML event extraction in persian text
, Article 24th International Conference on Computational Linguistics - Proceedings of COLING 2012: Technical Papers, 8 December 2012 through 15 December 2012 ; December , 2012 , Pages 2931-2944 ; Ghassem-Sani, G ; Mirroshandel, S. A ; Eshaghzadeh, M ; Sharif University of Technology
2012
Abstract
Recognizing TimeML events and identifying their attributes, are important tasks in natural language processing (NLP). Several NLP applications like question answering, information retrieval, summarization, and temporal information extraction need to have some knowledge about events of the input documents. Existing methods developed for this task are restricted to limited number of languages, and for many other languages including Persian, there has not been any effort yet. In this paper, we introduce two different approaches for automatic event recognition and classification in Persian. For this purpose, a corpus of events has been built based on a specific version of ISO-TimeML for Persian....