CogALex-V Shared Task: CGSRC - Classifying Semantic Relations using Convolutional Neural Networks

Abstract

In this paper, we describe a system (CGSRC) for classifying four semantic relations: synonym, hypernym, antonym and meronym using convolutional neural networks (CNN). We have participated in CogALex-V semantic shared task of corpus-based identification of semantic relations. Proposed approach using CNN-based deep neural networks leveraging pre-compiled word2vec distributional neural embeddings achieved 43.15\% weighted-F1 accuracy on subtask-1 (checking existence of a relation between two terms) and 25.24\% weighted-F1 accuracy on subtask-2 (classifying relation types).

Tasks

Reproductions