Maria Milosavljevic

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The process of learning is an incremental exploration of a domain; we do not learn the concepts in a domain in an isolated manner, but instead augment our existing knowledge with new concepts. Consequently, when teaching a new concept to a student, her existing knowledge should be employed in a way which facilitates the process of learning. In describing a(More)
Much of the natural language text found on the web contains various kinds of common sense knowledge and such information is potentially an important supplement to more formal approaches to building knowledge bases for Semantic Web applications. The common sense knowledge is often expressed in the form of generic statements such as " Elephants are mammals. "(More)
Electronic hypertext catalogues provide an important channel for information provision. However, static hypertext documents cannot be dynamically adapted to help the user find what he/she is looking for. We demonstrate that natural language generation techniques can be used to produce tailored hypertext documents, and we focus on two key benefits of the(More)
Museum labels are written according to the assumed knowledge and needs of a single restricted audience model. However, each visitor has unique reasons for visiting a museum or for being attracted to a particular exhibit. In addition, each visitor has unique knowledge, abilities, needs and limitations. In order to make labels more informative, interesting(More)
Financial investors trade on the basis of information , and in particular, on the likelihood that a piece of information will impact the market. The ability to predict this within milliseconds of the information being released would be useful in applications such as algorithmic trading. We present a solution for classifying investor sentiment on internet(More)
We discuss a task requiring the coherent presentation of heterogeneous information about objects recorded in electronic catalogues. We consider the advantages of combining hypermedia delivery with natural language generation technology, so as to allow us to view a session with such a system as a coherent conversation or dialogue. We describe two prototype(More)
Research in natural language generation promises significant advances in the ways in which we can make available the contents of underlying information sources. Most work in the field relies on the existence of carefully constructed artificial intelligence knowledge bases; however, the reality is that most information currently stored on computers is not(More)
Automatic natural language generation from underlying representations of information adds a new dimension to the electronic publishing world, particularly in the context of on-line information sources. In this paper, we provide an overview of our Peba-II natural language generation system, and focus on two key themes which take on special significance in(More)