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Multi-Document Information Consolidation (Dagstuhl Seminar 19182)

Dagan, Ido and Gurevych, Iryna and Roth, Dan and Stent, Amanda
Multi-Document Information Consolidation (Dagstuhl Seminar 19182).
In: Dagstuhl Reports, Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, 9, (4), ISSN 2192-5283,
DOI: 10.4230/DagRep.9.4.124,
[Online-Edition: http://drops.dagstuhl.de/opus/volltexte/2019/11357/],
[Article]

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 19182 “Multi-Document Information Consolidation”. At this 5-day Dagstuhl seminar, an interdisciplinary collection of leading researchers discussed and develop research ideas to address multi-documents in machine learning and NLP systems. In particular, the seminar addressed four major topics: 1) how to represent information in multi-document repositories; 2) how to support inference over multi-document repositories; 3) how to summarize and visualize multi-document repositories for decision support; and 4) how to do information validation on multi-document repositories.

General talks as well as topic-specific talks were given to stimulate the discussion between the participants, which lead to various new research ideas.

Item Type: Article
Erschienen: 2019
Editors: Dagan, Ido and Gurevych, Iryna and Roth, Dan and Stent, Amanda
Creators: Dagan, Ido and Gurevych, Iryna and Roth, Dan and Stent, Amanda
Title: Multi-Document Information Consolidation (Dagstuhl Seminar 19182)
Language: English
Abstract:

This report documents the program and the outcomes of Dagstuhl Seminar 19182 “Multi-Document Information Consolidation”. At this 5-day Dagstuhl seminar, an interdisciplinary collection of leading researchers discussed and develop research ideas to address multi-documents in machine learning and NLP systems. In particular, the seminar addressed four major topics: 1) how to represent information in multi-document repositories; 2) how to support inference over multi-document repositories; 3) how to summarize and visualize multi-document repositories for decision support; and 4) how to do information validation on multi-document repositories.

General talks as well as topic-specific talks were given to stimulate the discussion between the participants, which lead to various new research ideas.

Journal or Publication Title: Dagstuhl Reports
Volume: 9
Number: 4
Place of Publication: Dagstuhl, Germany
Publisher: Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik
Uncontrolled Keywords: Information Consolidation, Multi-Document, NLP
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
Date Deposited: 30 Sep 2019 10:54
DOI: 10.4230/DagRep.9.4.124
Official URL: http://drops.dagstuhl.de/opus/volltexte/2019/11357/
Additional Information:

Edited in cooperation with Nils Reimers.

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2012 ACM Subject Classification Information systems, Information retrieval, Computing methodologies, Machine learningUNSPECIFIED
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