Name
Abstract | ||
|---|---|---|
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 Combining Linking Techniques (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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1007/978-3-030-80418-3_16 | SEMANTIC WEB: ESWC 2021 SATELLITE EVENTS |
Keywords | DocType | Volume |
Entity linking, Meta-learning, Reproducibility, NLP, Semantic Web | Conference | 12739 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kristian Noullet | 1 | 0 | 0.34 |
| Samuel Printz | 2 | 0 | 0.34 |
| Michael Färber | 3 | 56 | 22.11 |