Answer Formulation for Question-Answering

In this paper, we describe our experimentations in 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 linguistic-quality are beneficial for both answer extraction and HCI.

• Type: Conference
• Year: 2003
• Where: AI
• Authors: Leila Kosseim, Luc Plamondon, Louis-Julien Guillemette
• Keywords: AI 2003, Answer Extraction, Answer Formulation, Artificial Intelligence, Different Precision/recall Requirements