Answer formulation for question-answering

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Abstract

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.

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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

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