Multi-document summarization based on atomic semantic events and their temporal relationss

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dc.contributor.authorUddin, Md Mohsin
dc.contributor.supervisorChali, Yllias
dc.date.accessioned2015-03-31T22:22:32Z
dc.date.available2015-03-31T22:22:32Z
dc.date.issued2014
dc.degree.levelMastersen_US
dc.description.abstractAutomatic multi-document summarization (MDS) is the process of extracting the most important information such as events and entities from multiple natural language texts focused on the same topic. We extract all types of semantic atomic information and feed them to a topic model to experiment with their effects on a summary. We design a coherent summarization system by taking into account the sentence relative positions in the original text. Our generic MDS system has outperformed the best recent multi-document summarization system in DUC 2004 in terms of ROUGE-1 recall and $f_1$-measure. Our query-focused summarization system achieves a statistically similar result to the state-of-the-art unsupervised system for DUC 2007 query-focused MDS task in ROUGE-2 recall measure. Update Summarization is a new form of MDS where novel yet salience sentences are chosen as summary sentences based on the assumption that the user has already read a given set of documents. In this thesis, we present an event based update summarization where the novelty is detected based on the temporal ordering of events and the saliency is ensured by event and entity distribution. To our knowledge, no other study has deeply investigated the effects of the novelty information acquired from the temporal ordering of events (assuming that a sentence contains one or more events) in the domain of update MDS. Our update MDS system has outperformed the state-of-the-art update MDS system in terms of ROUGE-2, and ROUGE-SU4 recall measures. Our MDS systems also generate quality summaries which are manually evaluated based on popular evaluation criteria.en_US
dc.identifier.urihttps://hdl.handle.net/10133/3655
dc.language.isoen_CAen_US
dc.proquest.subject0984en_US
dc.proquest.subject0489en_US
dc.proquestyesYesen_US
dc.publisherLethbridge, Alta. : University of Lethbridge, Dept. of Mathematics and Computer Scienceen_US
dc.publisher.departmentDepartment of Mathematics and Computer Sicenceen_US
dc.publisher.facultyArts and Scienceen_US
dc.relation.ispartofseriesThesis (University of Lethbridge. Faculty of Arts and Science)en_US
dc.subjectmulti-document summarizationen_US
dc.subjecteventsen_US
dc.subjecttemporal relationsen_US
dc.titleMulti-document summarization based on atomic semantic events and their temporal relationssen_US
dc.typeThesisen_US
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