Dagan, Ido ; Gurevych, Iryna ; Roth, Dan ; Stent, Amanda
Multi-Document Information Consolidation (Dagstuhl Seminar 19182).
In: Dagstuhl Reports, 9 (4)
doi: 10.4230/DagRep.9.4.124
Artikel, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Artikel | ||||
|---|---|---|---|---|---|
| Erschienen: | 2019 | ||||
| Herausgeber: | Dagan, Ido ; Gurevych, Iryna ; Roth, Dan ; Stent, Amanda | ||||
| Autor(en): | Dagan, Ido ; Gurevych, Iryna ; Roth, Dan ; Stent, Amanda | ||||
| Art des Eintrags: | Bibliographie | ||||
| Titel: | Multi-Document Information Consolidation (Dagstuhl Seminar 19182) | ||||
| Sprache: | Englisch | ||||
| Publikationsjahr: | 3 Mai 2019 | ||||
| Ort: | Dagstuhl, Germany | ||||
| Verlag: | Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik | ||||
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | Dagstuhl Reports | ||||
| Jahrgang/Volume einer Zeitschrift: | 9 | ||||
| (Heft-)Nummer: | 4 | ||||
| DOI: | 10.4230/DagRep.9.4.124 | ||||
| URL / URN: | http://drops.dagstuhl.de/opus/volltexte/2019/11357/ | ||||
| Zugehörige Links: | |||||
| Kurzbeschreibung (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. |
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| Freie Schlagworte: | Information Consolidation, Multi-Document, NLP | ||||
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| Zusätzliche Informationen: | Edited in cooperation with Nils Reimers. |
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| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung |
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| Hinterlegungsdatum: | 30 Sep 2019 10:54 | ||||
| Letzte Änderung: | 24 Jan 2020 13:13 | ||||
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| Suche nach Titel in: | TUfind oder in Google | ||||
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