no code implementations • RANLP 2019 • Suilan Estevez-Velarde, Andr{\'e}s Montoyo, Yudivian Almeida-Cruz, Yoan Guti{\'e}rrez, Alej Piad-Morffis, ro, Rafael Mu{\~n}oz
The massive amount of multi-formatted information available on the Web necessitates the design of software systems that leverage this information to obtain knowledge that is valid and useful.
no code implementations • RANLP 2019 • Alej Piad-Morffis, ro, Rafael Mu{\~n}oz, Yoan Guti{\'e}rrez, Yudivian Almeida-Cruz, Suilan Estevez-Velarde, Andr{\'e}s Montoyo
SNNs can be trained to encode explicit semantic knowledge from an arbitrary knowledge base, and can subsequently be combined with other deep learning architectures.
no code implementations • WS 2019 • Alej Piad-Morffis, ro, Yoan Guit{\'e}rrez, Suilan Estevez-Velarde, Rafael Mu{\~n}oz
This paper presents an annotation model designed to capture a large portion of the semantics of natural language text.