The vast amounts of on-line text now available have led to renewed interest in information extraction (IE) systems that analyze unrestricted text, producing a structured representation of selected information from the text. This paper presents a novel approach that uses machine learning to acquire knowledge for some of the higher level IE processing. Wrap-Up is a trainable IE discourse componen...

The vast amounts of on-line text now available have led to renewed interest in information extraction (IE) systems that analyze unrestricted text, producing a structured representation of selected information from the text. This paper presents a novel approach that uses machine learning to acquire knowledge for some of the higher level IE processing. Wrap-Up is a trainable IE discourse componen...

In the last decade, members of the computational linguistics community have adopted a perspective on discourse based primarily on either Rhetorical Structure Theory or Grosz and Sidner’s Theory. However, only recently, researchers have started to investigate the relationship between the two perspectives. In this paper, we use Moser and Moore’s (1996) work as a departure point for extending Marc...

This paper describes the PASCAL Network of Excellence Recognising Textual Entailment (RTE) Challenge benchmark 1 . The RTE task is defined as recognizing, given two text fragments, whether the meaning of one text can be inferred (entailed) from the other. This applicationindependent task is suggested as capturing major inferences about the variability of semantic expression which are commonly n...

In the last decade, members of the computational linguistics community have adopted a perspective on discourse based primarily on either Rhetorical Structure Theory or Grosz and Sidner’s Theory. However, only recently, researchers have started to investigate the relationship between the two perspectives. In this paper, we use Moser and Moore’s [1996] work as a departure point for extending our ...

This paper describes the PASCAL Network of Excellence first Recognising Textual Entailment (RTE-1) Challenge benchmark. The RTE task is defined as recognizing, given two text fragments, whether the meaning of one text can be inferred (entailed) from the other. This application-independent task is suggested as capturing major inferences about the variability of semantic expression which are comm...

The field of discourse processing has dissected many of the levels of representation that are constructed when individuals read or listen to connected discourse. These levels include the surface code, the propositional textbase, the referential situation model, the communication context, and the discourse genre. Discourse psychologists have developed models that specify how these levels are men...

This project is a part of nature language processing and its aims to develop a system of recognition inference text-appointed TIMINF. This type of system can detect, given two portions of text, if a text is semantically deducted from the other. We focused on making the inference time in this type of system. For that we have built and analyzed a body built from questions collected through the we...

Understanding arithmetic word problems involves a complex interaction of text comprehension and mathematical processes. This article presents a computer simulation designed to capture the working memory demands required in “bottomup” comprehension of arithmetic word problems. The simulation’s sentence-level parser and text integration component reflect the importance of processing the problem f...

This paper presents an inferential system based on abductive interpretation of text. Inference to the best explanation is performed by the recognition of the most economic semantic paths produced by the propagation of markers on a very large linguistic knowledge base. The propagation of markers is controlled by their intrinsic propagation rules, devised from plausible semantic relation chains. ...