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Results of the 2016 ENtity Summarization Evaluation Campaign (ENSEC 2016)

Gunaratna, Kalpa; Cheng, Gong; Thalhammer, Andreas 1; Liu, Qingxia
1 Karlsruher Institut für Technologie (KIT)


Entities and their descriptions are becoming an important part of the datasets and knowledge graphs available on the Web. These descriptions can be used in concise representation (i.e., summaries) to help users understand the Web content (e.g., summaries generated from Google Knowledge Graph in Google Search). In the recent past, several systems emerged to tackle the problem of automatic summary generation for entity descriptions. Even though these proposed systems continuously push the boundaries, the problem is not yet resolved completely. Therefore, there is a need to support and encourage researchers in the community to participate in solving this important problem. ENSEC, the entity summarization evaluation campaign, is the first step taken towards realizing that goal, and we present the results of the systems participating in the campaign.

Verlagsausgabe §
DOI: 10.5445/IR/1000092947
Veröffentlicht am 18.04.2019
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Informatik und Formale Beschreibungsverfahren (AIFB)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2016
Sprache Englisch
Identifikator ISSN: 1613-0073
KITopen-ID: 1000092947
Erschienen in Proceedings of the 2nd International Workshop on Summarizing and Presenting Entities and Ontologies (SumPre 2016) co-located with the 13th Extended Semantic Web Conference (ESWC 2016). Ed.: G. Cheng
Verlag RWTH Aachen
Serie CEUR Workshop Proceedings ; 1605
Nachgewiesen in Scopus
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