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Collocations play a significant role in second language acquisition. In order to be able to offer efficient support to learners, an NLP-based CALL environment for learning collocations should be based on a representative collocation error annotated learner corpus. However, so far, no theoretically-motivated collocation error tag set is available. Existing(More)
We present an approach to content selection that works on an ontology-based knowledge base developed independently from the task at hand, i.e., Natural Language Generation. Prior to content selection, a stage akin to signal analysis and data assessment used in the generation from numerical data is performed for identifying and abstracting patterns and(More)
Citizens are increasingly aware of the influence of environmental and meteorological conditions on the quality of their life. This results in an increasing demand for personalized environmental information, i.e., information that is tailored to citizens' specific context and background. In this work we describe the development of an environmental(More)
Natural Language Generation (NLG) is concerned with transforming some formal content input into a natural language output, given some communicative goal. Although this input has taken many forms and representations over the years, it is the semantic/conceptual representations that have always been considered as the " natural " starting ground for NLG.(More)
Team sports commentaries call for techniques that are able to select content and generate wordings to reflect the affinity of the targeted reader for one of the teams. The existing works tend to have in common that they either start from knowledge sources of limited size to whose structures then different ways of realization are explicitly assigned, or they(More)
With their abstract vocabulary and overly long sentences, patent claims, like several other genres of legal discourse, are notoriously difficult to read and comprehend. The enormous number of both native and non-native users reading patent claims on a daily basis raises the demand for means that make them easier and faster to understand. An obvious way to(More)