Growth in government investment, academic research, and commercial question answering (QA) systems is motivating a need for increased planning and coordination. The internationali...
This paper focuses on the improvement of the conceptual structure of FrameNet for the sake of applying this resource to knowledgeintensive NLP tasks requiring reasoning, such as q...
This paper presents a sentence extraction method based on Concept Coupling Model, a language model for handling natural language sentence structures. Sentence extraction is perfor...
Abstract. There is a growing discrepancy between the creation of digital content and its actual employment and usefulness in a learning society. Technologies for recording lectures...
We present a graph-based semi-supervised learning for the question-answering (QA) task for ranking candidate sentences. Using textual entailment analysis, we obtain entailment sco...