This paper presents trainable methods for generating letter to sound rules from a given lexicon for use in pronouncing out-ofvocabulary words and as a method for lexicon compressi...
This paper presents a multidimensional Dependency Grammar (DG), which decouples the dependency tree from word order, such that surface ordering is not determined by traversing the...
The classical, vector space model for text retrieval is shown to give better results (up to 29% better in our experiments) if WordNet synsets are chosen as the indexing space, ins...
Julio Gonzalo, Felisa Verdejo, Irina Chugur, Juan ...
We present several unsupervised statistical models for the prepositional phrase attachment task that approach the accuracy of the best supervised methods for this task. Our unsupe...
In this paper, we report on the development of an annotation scheme an annotation tools for unrestricted German text. Our representation format is based on argument structure, but...
Wojciech Skut, Thorsten Brants, Brigitte Krenn, Ha...
This paper describes a partial parser that assigns syntactic structures to sequences of partof-speech tags. The program uses the maximum entropy parameter estimation method, which...
We address the problem of clustering words (or constructing a thesaurus) based on co-occurrence data, and using the acquired word classes to improve the accuracy of syntactic disa...
We focus on the productionof efficient descriptionsof objects, actions and events. We define a type of efficiency, textualeconomy, thatexploitsthe hearer’s recognitionof infe...