Relation extraction refers to the process of identifying and categorizing semantic relationships between entities within a text. This task is vital for understanding the structure and meaning of complex language data, and it has significant applications in various NLP-related tasks, for example information retrieval, knowledge base construction etc.
Introduction to Tags
This chapter summarises the tags for relations. A more detailed presentation can be found in the guidelines in the Annotation Guidelines chapter.
This chapter summarizes the annotation guidelines for extracting relations as applied to Slovene texts. The guidelines are arranged from the latest, up-to-date version to the oldest version.
Version 1.2 (DRAFT)
ŽITNIK, Slavko, KREK, Simon, ROBNIK-ŠIKONJA, Marko, GANTAR, Polona, ARHAR HOLDT, Špela, PRELEVIKJ, Marko: Smernice za označevanje povezav v slovenskem jeziku. [DOCX] - only in Slovene
References and Links
This chapter compiles relevant references and provides links to projects where the relation extraction has been developed and applied to Slovene texts.
Corpora containing automatically assigned tags:
Štravs, Miha; Knez, Timotej and Žitnik, Slavko, 2022, Slovene corpus for general relation extraction SloREL 1.1, Slovenian language resource repository CLARIN.SI, ISSN 2820-4042, http://hdl.handle.net/11356/1730.
Štravs, Miha; Knez, Timotej and Žitnik, Slavko, 2022, Slovene corpus for general relation extraction SloREL 1.0, Slovenian language resource repository CLARIN.SI, ISSN 2820-4042, http://hdl.handle.net/11356/1730.