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Event Entry
What and Who
Mining How-To Activity Commonsense Knowledge from the Web
Cuong Xuan Chu
International Max Planck Research School for Computer Science - IMPRS
IMPRS Research Seminar
MSc student
AG 1, AG 2, AG 3, AG 4, AG 5, SWS, RG1, MMCI
Public Audience
English
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Date, Time and Location
Monday, 11 July 2016
12:00
30 Minutes
E1 4
r024
Saarbrücken
Abstract
Commonsense knowledge acquisition is a long-standing goal of AI. Recent
efforts to automatically compile commonsense either: (i) ignore activity
commonsense, (ii) operate at a small-scale, (iii) are not semantically
organized, (iv) are domain specific (e.g. over cooking scripts or movie
scripts). The goal of this work is to overcome these limitations and
compile a large-scale, semantically organized, domain independent activity
commonsense knowledge base.
An interesting input source of activity knowledge is how-to forums such as
WikiHow.com – containing rich textual and visual descriptions on common
activities. To answer a how-to question, for instance, “How to paint a
wall?”, Wikihow provides for us a list of activities, step by step, along
with useful information like images, things required, etc. However, it is
not organized for machine reading and still far from a semantically
organized knowledge base. We leverage the semi-structured data from
Wikihow, using open information extraction methods and by proposing a
method to organize this knowledge.
efforts to automatically compile commonsense either: (i) ignore activity
commonsense, (ii) operate at a small-scale, (iii) are not semantically
organized, (iv) are domain specific (e.g. over cooking scripts or movie
scripts). The goal of this work is to overcome these limitations and
compile a large-scale, semantically organized, domain independent activity
commonsense knowledge base.
An interesting input source of activity knowledge is how-to forums such as
WikiHow.com – containing rich textual and visual descriptions on common
activities. To answer a how-to question, for instance, “How to paint a
wall?”, Wikihow provides for us a list of activities, step by step, along
with useful information like images, things required, etc. However, it is
not organized for machine reading and still far from a semantically
organized knowledge base. We leverage the semi-structured data from
Wikihow, using open information extraction methods and by proposing a
method to organize this knowledge.
Contact
IMPRS-CS Office Team
0681 9325 1800
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Stephanie Jörg, 07/08/2016 10:15 -- Created document.