Named entities (NEs) are among the most relevant type of information that can be used to properly index digital documents and thus easily retrieve them. It has long been observed …
Named entities (NEs) are among the most relevant type of information that can be used to efficiently index and retrieve digital documents. Furthermore, the use of Entity Linking (EL) to …
C Santini - Frontiers in Computer Science, 2024 - frontiersin.org
This study investigates the integration of language models for knowledge extraction (KE) from Italian TEI/XML encoded texts, focusing on Giacomo Leopardi's works. The objective is …
O Tüselmann, GA Fink - International Workshop on Document Analysis …, 2022 - Springer
Abstract Named Entity Linking (NEL) is an information extraction task that semantically enriches documents by recognizing mentions of entities in a text and matching them against …
Abstract Knowledge Extraction (KE) techniques are used to convert unstructured information present in texts to Knowledge Graphs (KGs) which can be queried and explored. Despite …
On the Trail of Actors Who Write is a study of two digital cases of collaborative writing in a Norwegian lower secondary school class. The study maps, analyzes and discusses the …