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Titlebook: Natural Language Processing and Information Systems; 21st International C Elisabeth Métais,Farid Meziane,Sunil Vadera Conference proceeding

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樓主: BRISK
31#
發(fā)表于 2025-3-27 01:02:13 | 只看該作者
32#
發(fā)表于 2025-3-27 02:09:00 | 只看該作者
Towards Evaluating the Impact of Anaphora Resolution on Text Summarisation from a Human PerspectiveLP techniques to improve the quality of the produced summaries. The study reported in this paper seeks to establish whether Anaphora Resolution (AR) can improve the quality of generated summaries, and to assess whether AR has the same impact on text from different subject domains. Summarisation eval
33#
發(fā)表于 2025-3-27 05:25:45 | 只看該作者
34#
發(fā)表于 2025-3-27 11:56:14 | 只看該作者
0302-9743 ural Language to Information Systems, NLDB 2016, held in Salford, UK, in June 2016...The 17 full papers, 22 short papers, and 13 poster papers presented were carefully reviewed and selected from 83 submissions. The papers cover the following topics:?theoretical aspects, algorithms, applications, arc
35#
發(fā)表于 2025-3-27 13:51:07 | 只看該作者
Conference proceedings 20162016, held in Salford, UK, in June 2016...The 17 full papers, 22 short papers, and 13 poster papers presented were carefully reviewed and selected from 83 submissions. The papers cover the following topics:?theoretical aspects, algorithms, applications, architectures for applied and integrated NLP,
36#
發(fā)表于 2025-3-27 19:28:48 | 只看該作者
37#
發(fā)表于 2025-3-28 01:20:20 | 只看該作者
How to Complete Customer Requirementsnces from higher-level to more detailed customer requirements, before functionality matters. We therefore focus on the resolution of semantically incomplete user-generated sentences (i.e. non-instantiated arguments of predicates) and provide ontology-based gap-filling suggestions how to complete unverbalized information in the user’s demand.
38#
發(fā)表于 2025-3-28 06:07:50 | 只看該作者
39#
發(fā)表于 2025-3-28 07:28:47 | 只看該作者
Extracting and Representing Higher Order Predicate Relations between Conceptsthe concept associations correctly. This is superior to existing pattern based methods. A use case in the domain of content retrieval has also been evaluated which has shown to retrieve more accurate content using our knowledge representation scheme thereby proving the effectiveness of our approach.
40#
發(fā)表于 2025-3-28 13:14:40 | 只看該作者
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