W05-1608 integration of moving in the course of content-selection will be an issue of future work
P99-1071 quantitative evaluation of our content-selection com - ponent . In order to prevent
W05-1608 associated with this entity . During content-selection , the property values of the
W96-0416 preferences are then used to drive content-selection . We also plan to experiment
W05-1608 discriminatory power . The incremental content-selection in our algorithm ( see Alg .
C04-1129 paper , the emphasis of which is content-selection , rather than coherence . We
W05-1608 specific domain . Therefore , the content-selection algorithm ( see Alg . 3.1 ) gets
W05-1608 2 we have to anchor multimodal content-selection into this context . The central
W93-0207 include a second type of text plan . Content-selection plans correspond to subject-matter
N04-1015 for manual analysis by learning content-selection rules from a collection of articles
C04-1129 reference-generation task rather than a content-selection one , and implement a baseline
W10-2706 ontologies with linguistic and content-selection resources and inter-operates
W05-1608 be seen as a link between the content-selection algorithm and the spatial context
W05-1608 synthesis for verbal utterances . Content-selection for complex demonstrations is
W08-1119 on medically important events Content-selection in BT-45 is largely driven by
W05-1608 and Reiter emphasise that their content-selection algorithm is defined domain independently
W05-1608 In the course of our multimodal content-selection algorithm the generation of the
W10-4200 A Discourse-Aware Graph-Based Content-Selection Framework . Seniz Demir , Sandra
C02-1128 human author , typically using content-selection menus correlated with regions
P13-2138 being selected over SALIENCY ( content-selection without visual information )
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