@article{Barbella_Forbus_2011, title={Analogical Dialogue Acts: Supporting Learning by Reading Analogies in Instructional Texts}, volume={25}, url={https://ojs.aaai.org/index.php/AAAI/article/view/7835}, DOI={10.1609/aaai.v25i1.7835}, abstractNote={ <p> Analogy is heavily used in instructional texts. We introduce the concept of <em>analogical dialogue acts</em> (ADAs), which represent the roles utterances play in instructional analogies. We describe a catalog of such acts, based on ideas from structure-mapping theory. We focus on the operations that these acts lead to while understanding instructional texts, using the Structure-Mapping Engine (SME) and dynamic case construction in a computational model. We test this model on a small corpus of instructional analogies expressed in simplified English, which were understood via a semi-automatic natural language system using analogical dialogue acts. The model enabled a system to answer questions after understanding the analogies that it was not able to answer without them. </p> }, number={1}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Barbella, David and Forbus, Kenneth}, year={2011}, month={Aug.}, pages={1429-1435} }