Today there are still many applications in the Internet, where the user is given a textual description of a spatial configuration (e.g. chat, e-mail or newsgroups). The user is asked to imagine the scene and to draw inferences. We present a new approach to generate depictions of such scenes. Besides of drawing spatial inferences, this leads to the problem of solving a system of complicated nume...

This paper presents a computational method for analyzing Gricean constraints for the purpose of evaluating text coherence. Our system consists of a knowledge base constructed on top of WordNet, an inference engine that establishes discourse semantic paths between the input concepts and a mechanism of relating them to the context. Grice's maxims provide conditions to test coherence, while the se...

Sanda M. Harabagiu Dan I. Moldovan University of Southern California Southern Methodist University Los Angeles, CA 90089-2562 Dallas, Texas 75275-0122 [email protected] [email protected] Abstract This paper introduces a system intended for question answering based on abductive inference. The system uses a large knowledge base structured around WordNet. Texts and questions are uniformly proce...

Discourse comprehension processes attempt to produce an elaborate and well-connected representation in the reader's mind. A common network of regions including the angular gyrus, posterior cingulate, and dorsal frontal cortex appears to be involved in constructing coherent representations in a variety of tasks including social cognition tasks, narrative comprehension, and expository text compre...

Proof presentation systems and, in some more general context, many natural language generation systems suffer from a crucial problem: they present too much information explicitly which the intended audience could more naturally infer from a less detailed text. Moreover, proofs in mathematical textbooks make extensive use of building chains of inferences in specialized notations, which is not su...

One of the growing needs of information extraction (IE) from text is that the IE system must be able to perform enriched inferences in order to discover and extract information. We argue that one reason for the current limitation of the approaches that use semantics for that is that they are based on ontologies that express the characteristics of things represented by names, and seek to draw in...

Problems in reading comprehension are usually identified when the information obtained is incongruent with text. Consequently, a strategy made to support ability. This study was aimed determine impact of ability on students SMP Pos Keadilan Peduli Ummah (Henceforth called PKPU) and their responses implementation fix-up options strategy. It focused improving by identifying main idea, summarizing...

Generalized variance is applied for determination of dispersion in a multivariate population and is a successful measure for concentration of multivariate data. In this article, we consider constructing confidence interval and testing the hypotheses about generalized variance in a multivariate normal distribution and give a computational approach. Simulation studies are performed to compare thi...

Often, the reader of a published paper is interested in a comparison of parameters that has not been presented. It is not possible to make inferences beyond point estimation since the standard error for the contrast of the estimated parameters depends upon the (unreported) correlation. This study explores approaches to obtain valid confidence intervals when the correlation [Formula: see text] i...