In this paper, we describe our experimentations in evaluating answer formulation for question-answering (QA) systems. In the context of QA, answer formulation can serve two purposes: Improving answer extraction or improving human-computer interaction (HCI). Each purpose has different precision/recall requirements. We present our experiments for both purposes and argue that formulations of better grammatical quality are beneficial for both answer extraction and HCI.
CITATION STYLE
Kosseim, L., Plamondon, L., & Guillemette, L. J. (2003). Answer formulation for question-answering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2671, pp. 24–34). Springer Verlag. https://doi.org/10.1007/3-540-44886-1_5
Mendeley helps you to discover research relevant for your work.