[DL] CfP: HQA2019 (K-CAP 2019 workshop on Hybrid Question Answering)

Stefan Borgwardt stefan.borgwardt at tu-dresden.de
Thu Sep 5 09:42:30 CEST 2019

[Apologies for multiple postings.]

Second International Workshop on Hybrid Question Answering
with Structured and Unstructured Knowledge (HQA'19)

Part of K-CAP 2019
19-21 November, 2019,
Marina del Rey, California, United States

HQA 2019: https://goasq.lri.fr/workshop/hqa19.html
K-CAP 2019: http://www.k-cap.org/2019/

Important Dates
 - Title and abstract submission: September 25, 2019 (Anywhere on Earth)
 - Paper submission: September 27, 2019
 - Notification: October 8, 2019
 - Final version due: October 15, 2019

More and more knowledge is available electronically in a structured or
unstructured form over the World Wide Web (WWW).  Such knowledge has
become a rich resource to answer our daily life questions and even
scientific questions posed by domain experts. Accordingly, it becomes a
necessity to develop tools that can (semi-)automatically answer
questions based on the large amount of available data.

Such challenges have been targeted separately over the last years by
different communities, including query answering in the Semantic Web
based on structured semantic data and question answering in Natural
Language Processing based on unstructured textual data. While the former
is powerful in representing complex questions and exploring background
knowledge (e.g., large biomedical ontologies), it is often difficult to
master, and such an advanced answering system cannot be used without a
specialized user interface. In contrast, the latter can handle natural
questions directly but can formulate constraints that cannot be
represented formally by query answering approaches due to the limited
expressiveness of formal languages. Besides it is not obvious how to
take into account the background and common sense knowledge needed to
obtain precise answers over structured data.

The objective of this workshop is to bring together researchers and
developers working on question/query answering systems over structured
or unstructured knowledge, and create a platform to grow potential
collaborations in this multidisciplinary task.

Topics of submissions include, but are not limited to:

• Text/images based question answering
• Ontology based query answering
• Hybrid reasoning
• Information extraction over (un-)structured data
• Applications of question answering
• Domain-specific question answering
• Temporal event extraction from text
• Temporal reasoning for query answering
• Ontologies and knowledge graphs
• Biomedical text analysis
• Datasets combining structured and unstructured knowledge


Papers for the workshop should be submitted in PDF format via EasyChair
at  https://easychair.org/conferences/?conf=hqa2019 . Submitted papers
must use the ACM format published in ACM guidelines
(http://www.acm.org/publications/proceedings-template), selecting the
generic “sigconf” sample. Submissions must not exceed 4-6 pages in
length. Papers must have not been previously published or be under
review at another workshop. However, we encourage submissions that
present summaries or highlights of work appearing elsewhere in longer form.


For details about traveling to Marina del Rey, accommodation, and
registration, please see the Web pages of K-CAP 2019:


PC Chairs:
• Franz Baader, TU Dresden, Germany
• Brigitte Grau, LIMSI, CNRS, Université Paris-Saclay, France
• Yue Ma, LRI, CNRS, Université Paris-Sud, France

Organizing Committee:
• Stefan Borgwardt, TU Dresden, Germany
• Sanjay Kamath, LRI/LIMSI, CNRS, Université Paris-Sud, France
• Pierre Zweigenbaum, LIMSI, CNRS, Université Paris-Saclay, France

Program Committee (to be extended):
• Meghyn Bienvenu, CNRS, University of Bordeaux, France
• Camille Bourgaux, ENS Paris, CNRS, France
• Jieying Chen, LRI, CNRS, Université Paris Sud, France
• Walter Forkel, TU Dresden, Germany
• Guanghui Fu, Beijing University of Technology, Chine
• Anne-Laure Ligozat, LIMSI, CNRS, Université Paris Saclay, France
• Raghava Mutharaju, GE Global Research Center, USA
• Fathia Sais, LRI, CNRS, Université Paris Sud, France
• Fabian M. Suchanek, Télécom ParisTech, France
• Michaël Thomazo, INRIA Saclay, France
• Guohui Xiao, Free University of Bozen-Bolzano, Italy
• Zheng Zhang, LIMSI, CNRS, Université Paris Saclay, France

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