no code implementations • 27 Nov 2021 • Ignacio Arroyo-Fernández, José Armando Sánchez-Rojas, Arturo Tellez-Velázquez, Flavio Juárez-Martínez, Raúl Cruz-Barbosa, Enrique Guzmán-Ramírez, Yalbi Itzel Balderas-Martínez
In this paper, we address reasoning tasks from open vocabulary Knowledge Bases (openKBs) using state-of-the-art Neural Language Models (NLMs) with applications in scientific literature.
1 code implementation • 9 Oct 2019 • Ignacio Arroyo-Fernández, Mauricio Carrasco-Ruíz, J. Anibal Arias-Aguilar
We present a first attempt to elucidate a theoretical and empirical approach to design the reward provided by a natural language environment to some structure learning agent.
no code implementations • 17 Oct 2017 • Ignacio Arroyo-Fernández, Carlos-Francisco Méndez-Cruz, Gerardo Sierra, Juan-Manuel Torres-Moreno, Grigori Sidorov
Results showed that our model outperformed the state of the art in well-known Semantic Textual Similarity (STS) benchmarks.
Open-Ended Question Answering Semantic Textual Similarity +3