Given source text in several languages, can one answer queries in some other language, without translating any of the sources into the language of the questioner? In this paper we try to address this question as we report our work on a restricted domain, multilingual Question – Answering system, with current implementations for source text in English and questions posed in English and Hindi. Th...

We present an ongoing effort on utilizing text mining methods and existing biological ontologies to help readers to access the information contained in the scientific articles. Our approach includes using multiple strategies for biological entity detection and using association analysis on extracted analysis. The entity extraction processes utilizes regular expression rules, ontologies, and key...

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...

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...

This study investigated the effect of refutation text structure on reading processes and learning. Undergraduate biology students ( n = 116) who had high or moderate misconceptions were randomly assigned to read either a non-refutation text, simple an elaborated that addressed commonly held about genetic biology. Participants’ prompted think-aloud type their thoughts as they text. Typed verbal ...

The textual entailment problem is to determine if a given text entails a given hypothesis. This paper describes first a general generative probabilistic setting for textual entailment. We then focus on the sub-task of recognizing whether the lexical concepts present in the hypothesis are entailed from the text. This problem is recast as one of text cate-gorization in which the classes are the v...

I. Introduction The task the reader of a text has to accomplish is to connect the sentences in that discourse, to construct a global representation of what the text is about. This involves not only understanding the separate sentences but also the making of connections (inferences) between the sentences. Previous research has found that the processing of single sentences as well as a multi-sent...

linguistic stimuli in reading. Available prior knowledge about the language and about the world facilitates not only comprehension of the explicit information in the text, but also the generation of inferences about implicit information (e.g., McNamara & Kintsch, 1996). Vocabulary or word knowledge is a major component of prior knowledge that has been found to be related to inferences in readin...