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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

Date, Time and Location

Monday, 11 July 2016
30 Minutes
E1 4


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 – 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.


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Stephanie Jörg, 07/08/2016 10:15 AM -- Created document.