To account for natural variability in cognitive processing, it is standard practice to optimize a model's parameters by fitting it to behavioral data. Although most language-related theories acknowledge a large role for experience in language processing, variability reflecting that knowledge is usually ignored when evaluating a model's fit to…

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…

THREE GROUPS OF FIRST- AND SECOND-GRADE CHILDREN, TWO LOWER-CLASS AND ONE MIDDLE-CLASS, WERE ASKED TO LEARN AND RECALL SEQUENCES OF WORDS AT FOUR LEVELS OF CONCEPTUAL DIFFICULTY--NONSENSE SYLLABLES, HIGH FREQUENCY NOUNS, ANOMALOUS SENTENCES, AND MEANINGFUL SENTENCES. IT WAS HYPOTHESIZED THAT THE STUDENTS' VERBAL MEMORY WOULD INCREASE WITH…