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What and Who
Title:Complexity in Question Answering
Speaker:Rishiraj Saha Roy
coming from:Max-Planck-Institut für Informatik - D5
Speakers Bio:
Event Type:Joint Lecture Series
Visibility:D1, D2, D3, INET, D4, D5, SWS, RG1, MMCI
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Level:Public Audience
Date, Time and Location
Date:Wednesday, 10 October 2018
Duration:60 Minutes
Building:E1 5
Answering natural-language questions is a remarkable ability of search engines.
However, brittleness in the state-of-the-art is exposed when handling complexity
in question formulation. Such complexity has two distinct dimensions:
(i) diversity of expressions which convey the same information need, and,
(ii) complexity in the information need itself. We propose initial solutions to
these challenges: (i) syntactic differences in question formulation can be
tackled with a continuous-learning framework that extends template-based
answering with semantic similarity and user feedback; (ii) complexity in
information needs can be addressed by stitching pieces of evidence from multiple
documents to build a noisy graph, within which answers can be detected using
optimal interconnections. The talk will discuss results for these proposals, and
conclude with promising open directions in question answering.
Name(s):Jennifer Müller
EMail:--email address not disclosed on the web
Video Broadcast
Video Broadcast:NoTo Location:
Tags, Category, Keywords and additional notes
Attachments, File(s):
Jennifer Müller/MPI-INF, 09/05/2018 01:08 PM
Last modified:
Uwe Brahm/MPII/DE, 10/10/2018 07:01 AM
  • Uwe Brahm, 09/12/2018 05:53 PM
  • Jennifer Müller, 09/05/2018 01:10 PM -- Created document.