Análise de Medidas de Similaridade Semântica na Tarefa de Reconhecimento de Implicação Textual

• David B. Feitosa UNIFOR
• Vládia C. Pinheiro UNIFOR

Abstract

In this work, we present a feature-based approach to the RTE (Recognizing Text Entailment) task that verifies the similarity between two sentences including syntactic and semantic aspects. The selected features come from the winning work of the RTE task of the workshop ASSIN (Semantic Similarity Evaluation and Textual Inference) with some changes and addition of other semantic feature. The evaluation methodology consisted in replicating the task with the database used in the workshop, analyzing the results with and without the semantic features. Besides the numerical approach, we mention a symbolic one with its characteristics and limitations.