Recognizing Intentions in Free Text Messages: Studies with Portuguese Language

Author(s)

dos Reis, Julio Cesar ; Bonacin, Rodrigo ; Calani Baranauskas, Maria Cecilia ; Reddy, S ; Cellary, W ; Fugini, M

• Document type: Journal article
• Source: 2017 IEEE 26TH INTERNATIONAL CONFERENCE ON ENABLING TECHNOLOGIES - INFRASTRUCTURE FOR COLLABORATIVE ENTERPRISES (WETICE); v. N/A, p. 6-pg., 2017-01-01.

Abstract

Recent literature indicates that user intention analysis brings benefits for several computational tasks including information retrieval and communication. However, intentions are expressed implicitly in natural language texts. Domain related specificities and cultural language aspects hamper their machine representation and interpretation. This requires thorough investigations of intention recognition methods in free text to permit further exploring them. In this paper, we propose a technique based on the matching with representative key phrases and semantic extension of terms to detect instances of intention classes in natural language sentences. We explore a multidimensional framework of illocution categorization to structure the distinct intention classes. The conducted experiments with Portuguese language datasets of different characteristics reveal the potentialities of our method when analyzing the outcome of state-of-the-art machine-learning based text-mining techniques. (AU)

• FAPESP's process: 14/14890-0 - IMEanT: methods for dealing with meanings and intentions on interactive collaborative systems
• Grantee: Julio Cesar dos Reis
• Support Opportunities: Scholarships in Brazil - Post-Doctoral