We address the challenging task of "computational natural language inference," by which we mean bridging two or more natural language texts while also providing an explanation of how they are connected. In the context of question answering (i.e., finding short answers to natural language questions), this inference connects the question…

This study aims to understand how EFL learners in different reading proficiency levels comprehend L2 texts, using five-component skills involving measures of (1) vocabulary knowledge, (2) drawing inferences and predictions, (3) knowledge of text structure and discourse organization, (4) identifying the main idea and summarizing skills, and (5)…

Describes a recursive transition network model that analyzes and represents a story as a causal network of categorized clauses and labeled relations. Reports on two experiments using procedural criteria to identify inferences and the assumptions that inferences operate over distances in the text and are transitive, resulting in a network…