In this paper1 we introduce eXtensible MetaGrammar, a system that facilitates the development of tree based grammars. This system includes both (1) a formal language adapted to th...
An algorithm based on the Generalized Hebbian Algorithm is described that allows the singular value decomposition of a dataset to be learned based on single observation pairs pres...
GOD (General Ontology Discovery) is an unsupervised system to extract semantic relations among domain specific entities and concepts from texts. Operationally, it acts as a search...
We propose an approach for extracting relations between entities from biomedical literature based solely on shallow linguistic information. We use a combination of kernel function...
This paper describes the development of a rule-based computational model that describes how a feature-based representation of shared visual information combines with linguistic cu...
This paper describes a system that produces extractive summaries of short works of literary fiction. The ultimate purpose of produced summaries is defined as helping a reader to d...
We present an adaptive technique that enables users to produce a high quality dictionary parsed into its lexicographic components (headwords, pronunciations, parts of speech, tran...
Burcu Karagol-Ayan, David S. Doermann, Amy Weinber...
This paper discusses two problems that arise in the Generation of Referring Expressions: (a) numeric-valued attributes, such as size or location; (b) perspective-taking in referen...
We present results on addressee identification in four-participants face-to-face meetings using Bayesian Network and Naive Bayes classifiers. First, we investigate how well the ad...
Natasa Jovanovic, Rieks op den Akker, Anton Nijhol...
In this paper, we explore statistical language modelling for a speech-enabled MP3 player application by generating a corpus from the interpretation grammar written for the applica...