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Found 9 papers, 1 papers with code
Recent Developments for the Linguistic Linked Open Data Infrastructure
In this paper we describe the contributions made by the European H2020 project {``}Pr{\^e}t-{\`a}-LLOD{''} ({`}Ready-to-use Multilingual Linked Language Data for Knowledge Services across Sectors{'}) to the further development of the Linguistic Linked Open Data (LLOD) infrastructure.
Learning Diachronic Analogies to Analyze Concept Change
We show that a model which treats the concept terms as analogous and learns weights to compensate for diachronic changes (weighted linear combination) is able to more accurately predict the missing term than a learned transformation and two baselines for most of the evaluated concepts.
SANTO: A Web-based Annotation Tool for Ontology-driven Slot Filling
Supervised machine learning algorithms require training data whose generation for complex relation extraction tasks tends to be difficult.
Predicting Disease-Gene Associations using Cross-Document Graph-based Features
In the context of personalized medicine, text mining methods pose an interesting option for identifying disease-gene associations, as they can be used to generate novel links between diseases and genes which may complement knowledge from structured databases.
Ranking Right-Wing Extremist Social Media Profiles by Similarity to Democratic and Extremist Groups
Social media are used by an increasing number of political actors.
