## CEUR-WS.org/Vol-2044/paper11
Memorability of Semantically Grouped Online Reviews

#### Mengmeng Ye, Christoph Lofi, Nava Tintarev: Memorability of Semantically Grouped Online Reviews.
In: J. Fernández, S. Hellmann (eds.): Proceedings of the Posters and Demos Track of the 13th International Conference on Semantic Systems - SEMANTiCS2017,
Amsterdam, The Netherlands, September 11-14, 2017,
online: http://ceur-ws.org/Vol-2044/paper11

Abstract:
This paper evaluates whether semantic grouping of reviews helps users make better decisions. Reviews rated as helpful were com- pared with semantically grouped reviews. While participants did not perceive a reduced effort (using NASA-TLX), they needed less time and performed better on answering questions about the strong, weak and controversial points of the movies.
Elements:

- Official HTML (RASH) paper (HTML)
- Printable paper (PDF)
- Semantic annotations in NLP Interchange Format (RDF/Turtle)
- Citation (BibTeX)

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