no code implementations • 7 Nov 2020 • Jason Angel, Carlos A. Rodriguez-Diaz, Alexander Gelbukh, Sergio Jimenez
The second model uses word embedding representation to extract the neighbor's relative distances across spaces and propose "the average of absolute differences" to estimate lexical semantic change.
no code implementations • 23 Mar 2019 • Fabio N. Silva, Sergio Jimenez, George Dueñas
Our method, called Proficiency Rank, extends the well-known Page Rank algorithm to measure the reputation of users in a collaborative social graph.
1 code implementation • 31 Jul 2018 • Paul Sheridan, Mikael Onsjö, Claudia Becerra, Sergio Jimenez, George Dueñas
As a study case, we evaluated the proposed method against other approaches by performing the classical rating prediction task on a collection of Star Trek television series episodes in an item cold-start scenario.
no code implementations • SEMEVAL 2017 • Sergio Jimenez, George Due{\~n}as, Lorena Gaitan, Jorge Segura
The RUFINO team proposed a non-supervised, conceptually-simple and low-cost approach for addressing the Multilingual and Cross-lingual Semantic Word Similarity challenge at SemEval 2017.
no code implementations • 16 Jan 2014 • Tomas De la Rosa, Sergio Jimenez, Raquel Fuentetaja, Daniel Borrajo
Current evaluation functions for heuristic planning are expensive to compute.