The g o a l o f t h e NLG p r o j e c t i s t o enhance p e r s o n c o m p u t e r i n t e r a c t i o n b y u s i n g more t h a n one mode o f c o m m u n i c a t i o n . The p r o j e c t uses a c o m b i n a t i o n o f n a t u r a l l anguage and g r a p h i c s f o r b o t h i n p u t and o u t p u t . T h i s a l l o w s deve lopmen t o f p r a c t i c a l , h a b i t a b l e sys tems s...

Our task, broadly stated, is the development of systems for the understanding of narrative messages in limited domains. Improving the current state-of-the-art for such systems will require a better understanding of how to capture and utilize domain information, and how to effectively combine the various sources of information (syntactic, semantic, and discourse) to create a robust language anal...

Dealing with creative language and in particular with affective, persuasive and even humorous language has often been considered outside the scope of computational linguistics. Nonetheless it is possible to exploit current NLP techniques starting some explorations about it. We briefly review some computational experiences about these typical creative genres. Then we will talk about the exploita...

In this paper we describe the many steps involved in building a production quality Machine Translation system for translating weather warnings between French and English. Although in principle this task may seem straightforward, the details, especially corpus preparation and final text presentation, involve many difficult aspects that are often glossed over in the literature. On top of the clas...

The importance of requirements, which in practice often means natural language requirements, for a successful software project cannot be underestimated. Although requirement analysis has been traditionally reserved to the experience of professionals, there is no reason not to use various automatic techniques to the same end. In this paper we present Circe, a Web-based environment for aiding in ...

The automatic generation of natural language messages (or NLG) has been employed in many computer systems and for various purposes, which go from providing information on a particular subject, to instructing on how to perform some -complexaction, to arguing about a particular claim (for an overview, see [24]). In the majority of systems that have been designed in the last decade, these messages...

The subject of this demonstration is natural language interaction, focusing on adaptivity and profiling of the dialogue management and the generated output (text and speech). These are demonstrated in a museum guide use-case, operating in a simulated environment. The main technical innovations presented are the profiling model, the dialogue and action management system, and the text generation ...

The objective of this project is a pilot study of several new 3. ideas for the automatic adaptation and improvement of natural language processing (NLP) systems. The effort focuses particularly on automatically inferring the meaning of new words in context and on developing partial interpretations of language that is either fragmentary or beyond the capability of the NLP system to understand. T...

Statistics-based classifiers in natural language are developed typically by assuming a generative model for the data, estimating its parameters from training data and then using Bayes rule to obtain a classifier. For many problems the assumptions made by the generative models are evidently wrong, leaving open the question of why these approaches work. This paper presents a learning theory accou...

A goal of human factors research with computer systems is to develop human-computer communication modes that are both error tolerant and easily learned. Since people already have extensive communication skills through their own native or natural language (e.g. English, French, Japanese, etc.) many believe that natural language interfaces (NLIs) can provide the most useful and efficient way for ...