Information Extraction: A Smart Calendar Application | Using NLP, Computational Linguistics, Machine Learning and Information Retrieval Techniques

Pavan Hemdev

ISBN 10: 3639353056 / ISBN 13: 9783639353051

Published by VDM Verlag Dr. Müller, 2011

About this Item

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.

Seller Inventory # 107015004

Bibliographic Details

• Title: Information Extraction: A Smart Calendar Application | Using NLP, Computational Linguistics, Machine Learning and Information Retrieval Techniques
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2011
• Language: English
• ISBN 10: 3639353056
• ISBN 13: 9783639353051
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 150W x 4H x 219D millimeters 150 millimeters width by 4 millimeters height by 219 millimeters depth
• Weight: 172 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.

About the Author

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.