Abstract. In this paper, we present a method for the automatic acquisition of semantic-based reformulations from natural language questions. Our goal is to find useful and generic ...
In this paper, we discuss a novel technique based on semantic constraints to improve the performance and portability of a reformulation-based question answering system. First, we ...
Question Answering (QA) is a task that deserves more collaboration between Natural Language Processing (NLP) and Knowledge Representation (KR) communities, not only to introduce r...
This paper presents a new corpus of human answers in natural language. The answers were collected in order to build a base of examples useful when generating natural language answ...
Creating more fine-grained annotated data than previously relevent document sets is important for evaluating individual components in automatic question answering systems. In this...