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pro vyhledávání: '"Kovriguina, Liubov"'
Autor:
Rony, Md Rashad Al Hasan, Kovriguina, Liubov, Chaudhuri, Debanjan, Usbeck, Ricardo, Lehmann, Jens
Evaluating Natural Language Generation (NLG) systems is a challenging task. Firstly, the metric should ensure that the generated hypothesis reflects the reference's semantics. Secondly, it should consider the grammatical quality of the generated sent
Externí odkaz:
http://arxiv.org/abs/2203.09183
Knowledge Graph Question Answering Leaderboard: A Community Resource to Prevent a Replication Crisis
Autor:
Perevalov, Aleksandr, Yan, Xi, Kovriguina, Liubov, Jiang, Longquan, Both, Andreas, Usbeck, Ricardo
Data-driven systems need to be evaluated to establish trust in the scientific approach and its applicability. In particular, this is true for Knowledge Graph (KG) Question Answering (QA), where complex data structures are made accessible via natural-
Externí odkaz:
http://arxiv.org/abs/2201.08174
Akademický článek
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Publikováno v:
Semantic Web Evaluation Challenges; 2015, p153-164, 12p
Publikováno v:
Semantic Web Evaluation Challenges; 2015, p142-152, 11p
Publikováno v:
Informatics in Schools. Curricula, Competences & Competitions; 2015, p542-550, 9p
Publikováno v:
Proceedings of 16th Conference of Open Innovations Association FRUCT; 2014, p60-65, 6p