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Found 3 papers, 1 papers with code
Improving Neural Language Processing with Named Entities
Most neural-based NLP models receive only vectors encoded from a sequence of subwords obtained from an input text.
RDF-star2Vec: RDF-star Graph Embeddings for Data Mining
Knowledge Graphs (KGs) such as Resource Description Framework (RDF) data represent relationships between various entities through the structure of triples (<subject, predicate, object>).
Transformer-based Approach for Predicting Chemical Compound Structures
Instead of handcrafted rules, we propose Transformer-based models that predict SMILES strings from chemical compound names.
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