The amount of information available on the web and other electronic formats is increasing at a rapid rate. Moreover, e-mails are now becoming the preferred mode of communication. This thesis investigates various Information Extraction techniques (Tokenization, POS Tagger, Chunker, NER, Co-reference Resolution) and develops a system that inferences calendar appointments from a user's e-mail account. More specifically, the system identifies the subject, date and time of an appointment and upon user confirmation enters it into a calendar service. It makes use of an intelligent user feedback mechanism that helps tailor the system towards individual users. A novel approach adopted towards constructing rules to identify entities in the absence of a domain relevant corpus, reinstates the importance of a rule-based approach towards building a Named Entity Recognizer. It allows the system to be easily extended and helps identify unseen patterns without much domain expertise. Finally, the thesis tries to provide a data format that could be used in future systems, paving the way for a world in which devices could truly communicate with each other.
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Pavan Hemdev is a Technology Enthusiast with a Msc in Computer Science from Oxford University. Currently, he is engaged in launching his first start-up in the mobile space back home in Mumbai, India. Having participated in social organisations, he would one day like to set up a technology school in India.
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Taschenbuch. Etat : Neu. Information Extraction: A Smart Calendar Application | Using NLP, Computational Linguistics, Machine Learning and Information Retrieval Techniques | Pavan Hemdev | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639353051 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 107015004
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