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What and Who
Title:Mining Past, Present, and Future
Speaker:Abdalghani Abujabal
coming from:Fachrichtung Informatik - Saarbrücken
Speakers Bio:Master's student
Event Type:PhD Application Talk
Visibility:D1, D2, D3, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Language:English
Date, Time and Location
Date:Monday, 23 February 2015
Time:11:20
Duration:120 Minutes
Location:Saarbrücken
Building:E1 4
Room:r024
Abstract
We address the problem of identifying important events in the past, present, and future from semantically-annotated large-scale document collections. Semantic annotations that we consider are named entities (e.g., persons, locations, organizations) and temporal expressions (e.g., during the 1990s). More specifically, for a given time period of interest, our objective is to identify, rank, and describe important events that happened. Our approach makes use of frequent itemset mining to identify events and group sentences related to them. It uses an information-theoretic measure to rank identified events. For each of them, it selects a representative sentence as a description. Experiments on ClueWeb09 using events listed in Wikipedia year pages as ground truth show that our approach is effective and outperforms a baseline based on statistical language models
Contact
Name(s):IMPRS-CS Office
Phone:0681 9325 1800
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:NoTo Location:
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Created by:Stephanie Jörg/MPI-INF, 02/20/2015 10:26 AMLast modified by:Uwe Brahm/MPII/DE, 11/24/2016 04:13 PM
  • Stephanie Jörg, 02/20/2015 10:30 AM -- Created document.