Cyberbullying Detection Task: the EBSI-LIA-UNAM System (ELU) at COLING'18 TRAC-1

no code implementations • COLING 2018 • Ignacio Arroyo-Fern{\'a}ndez, Dominic Forest, Juan-Manuel Torres-Moreno, Mauricio Carrasco-Ruiz, Thomas Legeleux, Karen Joannette

This study aims to assess the ability that both classical and state-of-the-art vector space modeling methods provide to well known learning machines to identify aggression levels in social network cyberbullying (i. e. social network posts manually labeled as Overtly Aggressive, Covertly Aggressive and Non-aggressive).

UNAM at SemEval-2018 Task 10: Unsupervised Semantic Discriminative Attribute Identification in Neural Word Embedding Cones

no code implementations • SEMEVAL 2018 • Ignacio Arroyo-Fern{\'a}ndez, Ivan Meza, Carlos-Francisco M{\'e}ndez-Cruz

As $a, b, q$ are represented with neural word embeddings, we tested vector operations allowing us to measure membership, i. e. fuzzy set operations (t-norm, for fuzzy intersection, and t-conorm, for fuzzy union) and the similarity between $q$ and the convex cone described by $a$ and $b$.

Attribute Word Embeddings

LIPN-IIMAS at SemEval-2017 Task 1: Subword Embeddings, Attention Recurrent Neural Networks and Cross Word Alignment for Semantic Textual Similarity

no code implementations • SEMEVAL 2017 • Ignacio Arroyo-Fern{\'a}ndez, Ivan Vladimir Meza Ruiz

In this paper we report our attempt to use, on the one hand, state-of-the-art neural approaches that are proposed to measure Semantic Textual Similarity (STS).

Semantic Similarity Semantic Textual Similarity +5

Learning Kernels for Semantic Clustering: A Deep Approach

no code implementations • NAACL 2015 • Ignacio Arroyo-Fern{\'a}ndez

Clustering Semantic Textual Similarity