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Found 3 papers, 2 papers with code
On the Impact of Knowledge-based Linguistic Annotations in the Quality of Scientific Embeddings
In essence, embedding algorithms work by optimizing the distance between a word and its usual context in order to generate an embedding space that encodes the distributional representation of words.
Linked Credibility Reviews for Explainable Misinformation Detection
In this paper we propose an architecture based on a core concept of Credibility Reviews (CRs) that can be used to build networks of distributed bots that collaborate for misinformation detection.
Assessing the Lexico-Semantic Relational Knowledge Captured by Word and Concept Embeddings
Deep learning currently dominates the benchmarks for various NLP tasks and, at the basis of such systems, words are frequently represented as embeddings --vectors in a low dimensional space-- learned from large text corpora and various algorithms have been proposed to learn both word and concept embeddings.
