Daga, Ido
[VerfasserIn];
Gurevych, Iryna
[VerfasserIn];
Roth, Dan
[VerfasserIn];
Stent, Amanda
[VerfasserIn]
;
Ido Daga and Iryna Gurevych and Dan Roth and Amanda Stent
[MitwirkendeR]
Multi-Document Information Consolidation (Dagstuhl Seminar 19182)
Anmerkungen:
Diese Datenquelle enthält auch Bestandsnachweise, die nicht zu einem Volltext führen.
Beschreibung:
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.