The accessible specification of performance queries is a key challenge in performance analysis. To this end, we seek to combine the intuitive aspects of natural language query spec...
Lei Wang 0002, Nicholas J. Dingle, William J. Knot...
We are interested in developing a better understanding of what it is that students find difficult in learning logic. We use both natural language and diagram-based methods for teac...
Richard Cox, Robert Dale, John Etchemendy, Dave Ba...
Abstract. This paper proposes an approach which utilizes natural language processing (NLP) and ontology knowledge to automatically denote the implicit semantics of textual requirem...
Abstract. Natural language interaction between a student and a tutoring or an assistance system for mathematics is a new multi-disciplinary challenge that requires the interaction ...
We live in the information age, where the amount of data readily available already overwhelms our capacity to analyze and absorb it without help from our machines. In particular, ...
We present ERIC, an affective embodied agent for realtime commentary in many domains. The underlying architecture is rulebased, generic, and lightweight
As computer systems continue to grow in power and access more networked content and services, we believe there will be an increasing need to provide more user-centric systems that...
In this paper we deal with the problem of providing natural language front-ends to databases upon which an ontology layer has been added. Specifically, we are interested in expres...
Raffaella Bernardi, Diego Calvanese, Camilo Thorne
We present a novel Text-to-Picture system that synthesizes a picture from general, unrestricted natural language text. The process is analogous to Text-to-Speech synthesis, but wi...
Xiaojin Zhu, Andrew B. Goldberg, Mohamed Eldawy, C...