The research reported here was designed to investigate the critical role played by certain factors implicated in the mental representation of text, and to establish whether their role varies significantly as a function of developmental age. Specifically, it was decided to analyse, in a sample of 180 subjects was selected from three different age groups (7, 10 and 18 years of age respectively), ...

In this paper we describe a highly parallel method for extracting inferences from text. The method is based on a marker-propagation algorithm that establishes semantic paths between knowledge base concepts. The paper presents the structure of the system, the marker-propagation algorithm, and results that show a large degree of parallelism.

The problem of deciding what was implied by a written text, of “reading between the lines’ ’ is the problem of inference. To extract proper inferences from a text requires a great deal of general knowledge on the part of the reader. Past approaches have often postulated an algorithm tuned to process a particular kind of knowledge structure (such as a script, or a plan). An alternative, unified ...

The Computerized Comprehensibility System (CCS) provides an automated copy editing function, generating a "mark-up" of a draft of a technical document by simulating the simpler comprehension processes of a human reader, and then criticizing the text when these simple processes cannot successfully comprehend the material. A key CCS function is criticizing the coherence of the material by trackin...

This study aimed to enhance third and fourth graders' text comprehension at the situation model level. Therefore, we tested a reading strategy training developed to target inference making skills, which are widely considered to be pivotal to situation model construction. The training was grounded in contemporary literature on situation model-based inference making and addressed the source (text...

We combine state-of-the-art techniques from computational linguistics and theorem proving to build an engine for playing text adventures, computer games with which the player interacts purely through natural language. The system employs a parser for dependency grammar and a generation system based on TAG, and has components for resolving and generating referring expressions. Most of these modul...

We present a new gene prioritization method that learns a probabilistic knowledge model from a knowledge base and free text research documents and exploits it to prioritize candidate genes. The knowledge model is represented by a network of associations among the domain entities (e.g., genes) and is extracted from a domain knowledge base (e.g., protein-protein interaction database) or a corpus ...

________________ One of the most common findings of recent reading research is that drawing inferences is an essential part of the comprehension process, even among young children (Anderson & Pearson, 1984). Dole et al (1991) argues that inference is at the heart of comprehension process. As they construct their own models of meaning for a given text, readers and listeners alike use inferencing...