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Titlebook: Aspects of Automated Natural Language Generation; 6th International Wo R. Dale,E. Hovy,O. Stock Conference proceedings 1992 Springer-Verlag

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31#
發(fā)表于 2025-3-27 00:49:57 | 只看該作者
32#
發(fā)表于 2025-3-27 03:15:50 | 只看該作者
33#
發(fā)表于 2025-3-27 07:18:37 | 只看該作者
34#
發(fā)表于 2025-3-27 09:35:47 | 只看該作者
35#
發(fā)表于 2025-3-27 13:41:42 | 只看該作者
A constraint logic programming treatment of syntactic choice in natural language generation,ng to revise these judgements when more information is available. We focus on the treatment of linear precedence and on the determination of syntactic rules using a constraint logic programming approach.
36#
發(fā)表于 2025-3-27 20:26:32 | 只看該作者
Generating utterances in dialogue systems,ce, an utterance planning component derives a semantic description drawing on a model of speakers‘ knowledge of the domain. This semantic description is linguistically realised by a generation component which draws on a bi-directional lexicon-grammar. The algorithm recycles structure from a contextu
37#
發(fā)表于 2025-3-27 23:49:06 | 只看該作者
Monologue as a turn in dialogue: Towards an integration of exchange structure and rhetorical struct monologue and dialogue. Rhetorical structure theory (RST) is selected as the current best prospect for modelling monologue. A model for exchange structure is then outlined — the systemic flowchart model — and we conclude by showing how the two can be related to each other in an integrated overall m
38#
發(fā)表于 2025-3-28 04:14:30 | 只看該作者
Abducing temporal discourse,d in extended text? We argue that we want to be able to generate . text, where certain temporal information remains implicit but pragmatically inferrable. An algorithm for generating laconic text is proposed, interleaving abduction and nonmonotonic deduction over a formal model of pragmatic implicat
39#
發(fā)表于 2025-3-28 07:01:00 | 只看該作者
40#
發(fā)表于 2025-3-28 14:22:20 | 只看該作者
Customizing RST for the automatic production of technical manuals, automatic production of multilingual technical manuals. Starting from a domain knowledge base, we construct an RST-tree for a particular manual section, which is then converted to a set of sentence plans. These plans serve as input to sentence generators that produce the final text. In this paper,
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