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  Estimating Event Focus Time with Distributed Representation of Words

Das, S., Berberich, K., Klakow, D., Mishra, A., & Setty, V. (2017). Estimating Event Focus Time with Distributed Representation of Words. Master Thesis, Universität des Saarlandes, Saarbrücken.

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 Creators:
Das, Supratim1, Author           
Berberich, Klaus1, Author           
Klakow, Dietrich2, Author
Mishra, Arunav1, Author           
Setty, Vinay1, Author           
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1Databases and Information Systems, MPI for Informatics, Max Planck Society, ou_24018              
2External Organizations, ou_persistent22              

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 Abstract: Time is an important dimension as it aids in disambiguating and understanding news- worthy events that happened in the past. It helps in chronological ordering of events to understand its causality, evolution, and ramifications. In Information Retrieval, time alongside text is known to improve the quality of search results. So, making use of the temporal dimensionality in the text-based analysis is an interesting idea to explore. Considering the importance of time, methods to automatically resolve temporal foci’s of events are essential. In this thesis, we try to solve this research question by training our models on two different kinds of corpora and then evaluate on a set of historical event-queries.

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Language(s): eng - English
 Dates: 20172017
 Publication Status: Issued
 Pages: 83 p.
 Publishing info: Saarbrücken : Universität des Saarlandes
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: dasmaster17
 Degree: Master

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