Stage-oe-small.jpg

Inproceedings3887

Aus Aifbportal
Version vom 29. Juni 2021, 20:27 Uhr von He9318 (Diskussion | Beiträge) (Die Seite wurde neu angelegt: „{{Publikation Erster Autor |ErsterAutorNachname=Noullet |ErsterAutorVorname=Kristian }} {{Publikation Author |Rank=2 |Author=Samuel Printz }} {{Publikation Aut…“)
(Unterschied) ← Nächstältere Version | Aktuelle Version (Unterschied) | Nächstjüngere Version → (Unterschied)
Wechseln zu:Navigation, Suche


Combining Linking Techniques for Everyone


Combining Linking Techniques for Everyone



Published: 2021

Buchtitel: Proceedings of the 18th Extended Semantic Web Conference (ESWC'21)
Verlag: Springer

Referierte Veröffentlichung

BibTeX

Kurzfassung
While the path in the field of Entity Linking (EL) has been long and brought forth a plethora of approaches over the years, many of these are exceedingly difficult to execute for purposes of detailed analysis. In many cases, implementations are available, but far from being a plug-and-play experience. We present clit, a framework with the purpose of executing singular linking techniques and complex combinations thereof, with a higher degree of reusability, reproducibility and comparability of existing systems in mind. Furthermore, we introduce protocols for the exchange of sub-pipeline-level information with existing and novel systems for heightened out-of-the-box compatibility. Among others, our framework may be used to consolidate multiple systems in combination with meta learning approaches and increase support for backwards compatibility of existing benchmark annotation systems.

Download: Media:CLiT_ESWC2021.pdf



Forschungsgruppe

Web Science


Forschungsgebiet

Wissensrepräsentation, Text Mining, Knowledge Discovery