This work presents a general rank-learning framework for passage ranking within Question Answering (QA) systems using linguistic and semantic features. The framework enables query...
Matthew W. Bilotti, Jonathan L. Elsas, Jaime G. Ca...
During the last few years, a lot of researches have focused on automatic definition extraction in the context of question answering systems. Although, these researches have been co...
Abstract. Systems competitions play a fundamental role in the advancement of the state of the art in several automated reasoning fields. The goal of such events is to answer the q...
Question answering (QA) systems take users’ natural language questions and retrieve relevant answers from large repositories of free texts. Despite recent progress in QA researc...
The treatment of factual data has been widely studied in different areas of Natural Language Processing (NLP). However, processing subjective information still poses important cha...