Many natural language understanding tasks require lexicons that can support extensive lexically-based inferencing. To represent lexical semantics, most existing natural language understanding systems utilize Standard First Order Logic (FOL), or a subset of it. We argue that using a representation richer than FOL would facilitate better lexically-based inferencing. Using examples drawn from actu...

In this paper, we pioneer a context-aware approach for quality of experience (QoE) modeling, reasoning and inferencing in mobile and pervasive computing environments. The proposed model is based upon Context Spaces Theory (CST) and influence diagrams (IDs) to handle uncertain and hidden complex inter-dependencies between userperceived and network level QoS and to calculate overall QoE of the us...

The paper describes the method of how to develop “Intelligent agents” for web searching and replacing the existing “User agents” with the “Intelligent agents”. This process is described by developing a website (viz.Music Library) which runs on an inferencing engine which suggests the users the kind of music they like based upon its reasoning. The database for such an engine has been moved away ...

The relationship between working memory capacity and writing ability was examined via a linguistic analysis of student essays. Undergraduate students (n = 108) wrote timed, prompt-based essays and completed a battery of cognitive assessments. The surfaceand discourse-level linguistic features of students’ essays were then analyzed using natural language processing tools. The results indicated t...

the purpose of this study was to measure reading comprehension strategies when tell me more and sweet english software were utilized to enhance the traditional reading comprehension practice. the study focused on evaluation of four strategies (i.e., scanning, skimming, inferencing and headline guessing) in reading comprehension in three different classes at an english language institute in iran...