"Data Envelopment Analysis of linguistic features and passage relevance" by Bahadorreza Ofoghi, Mahdi Mahdiloo et al.
Question Answering (QA) systems play an important role in today's human–computer interaction systems. QA performance can be significantly improved using effective answer passage retrieval and ranking techniques. Our focus in this paper is on both non machine learning-based and deep learning-based passage retrieval and ranking systems for QA to leverage linguistic features within the text of questions and passages and improve passage ranking effectiveness. We propose a decoupled linguistic and linear programming-based approach for passage ranking using the Data Envelopment Analysis (DEA)...
Source: uow.edu.au