An Acquisition Model of Deep Textual Semantics Based on Human Reading Cognitive Process

摘要

The acquisition of deep textual semantics is a key issue which significantly improves the performances ofe-learning, web search and web knowledge services, etc. Though many models have been developed to acquire textual semantics, th acquisition of deep textual semantics is still a challenge issue. Herein, an acquisition model of deep textual semantics is developed to enhance the capability of text understanding, which includes two parts: 1) how to obtain and organize the domain knowledge extractedfrom text set and 2) how to activate the domain knowledgefor obtaining the deep textual semantics. The activationprocess involves the Gough mode reading theory, Landscape model and memory cognitive process. The Gough mode is the main human reading model that enables the authors to acquire deep semantics in a text reading process. Generalized semantic field is proposed to store the domain knowledge in the form of Long Term Memory (LTM). Specialized semantic field, which is acquired by the interaction process between the text fragment and the domain knowledge, is introduced to describe the change process of textual semantics. By their mutual actions, the authors can get the deep textual semantics which enhances the capability of text understanding; therefore, the machine can understand the text more precisely and correctly than those models only obtaining surface textual semantics.