ptlm_wsid (this link opens in a new window) by semantic-web-company (this link opens in a new window)
Usage of pre-trained language model to induce and disambiguate entity senses
How to correctly link entities from text to your Knowledge Graph using Word Sense Induction and Disambiguation.
A quicker and more robust Word Sense Induction and Disambiguation approach for Entity Linking.
Enabling reliable disambiguation without the need to induce at all, even with incomplete sense inventories.
The main objective of Lynx is to create an ecosystem of smart cloud services to better manage compliance, based on a legal knowledge graph (LKG) which integrates and links heterogeneous compliance data sources including legislation, case law, standards and other private contracts.
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The FFG-funded OBARIS project aims to advance the status quo in the area of auditable semantic artificial intelligence systems (SAISs), by investigating both conceptual aspects of these systems as well as a technology stack that facilitates transposing these system types into concrete settings.
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