Open Knowledge Extraction Challenge

By Andrea Giovanni Nuzzolese, Anna Lisa Gentile, Valentina Presutti, Aldo Gangemi, Darío Garigliotti, Roberto Navigli. 2015

64 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Autoregressive Entity Retrieval (2020, methodology): “Noticeably, in two datasets (OKE15 and OKE16) our model performs poorly.”
CM3: A Causal Masked Multimodal Model of the Internet (2022, methodology): “For both setting we evaluate on seven test sets: MSNBC, Derczynski (Der) (Derczynski et al., 2015), KORE 50 (K50) (Hoffart et al., 2012), N3-Reuters-128 (R128), N3-RSS-500 (R500) (R¨oder et al., 2014), and OKE challenge 2015 and 2016 (OKE15 and OKE16) (Nuzzolese et al., 2015).”
End-to-End Neural Entity Linking (2018, background): “WAT Piccinno and Ferragina (2014), Dbpedia Spotlight Mendes et al.”
GERBIL - Benchmarking Named Entity Recognition and Linking consistently (2017, background): “Challenge 2015 [45] comprises the tasks Entity”