Analysing Entities, Topics and Events in Community Memories.
Paper i proceeding, 2013
his paper briefly describes the components of the ARCOMEM architecture concerned with the extraction, enrichment, consolidation and dynamics analysis of entities, topics and events, deploying text mining, NLP, and semantic data integration technologies. In particular, we focus on four main areas relevant to support the ARCOMEM requirements and use cases: (a) entity and event extraction from text; (b) entity and event enrichment and consolidation; (c) topic
detection and dynamics; and (d) temporal aspects and dynamics detection in Web language and online social networks.
Författare
Elena Demidova
N. Barbieri
Stefan Dietze
Adam Funk
Gerhard Gossen
Diana Maynard
N. Papailiou
V. Plachouras
W. Peters
Y. Stavrakas
Thomas Risse
Nina Tahmasebi
Chalmers, Data- och informationsteknik
Proc. of the first International Workshop on Archiving Community Memories
Styrkeområden
Informations- och kommunikationsteknik
Ämneskategorier
Språkteknologi (språkvetenskaplig databehandling)
Data- och informationsvetenskap