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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
41#
發(fā)表于 2025-3-28 18:31:41 | 只看該作者
0302-9743 ed were carefully reviewed and selected from 83 submissions. The papers cover the following topics:?theoretical aspects, algorithms, applications, architectures for applied and integrated NLP, resources for applied NLP, and other aspects of NLP..978-3-319-41753-0978-3-319-41754-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
42#
發(fā)表于 2025-3-28 21:46:34 | 只看該作者
43#
發(fā)表于 2025-3-29 00:43:20 | 只看該作者
44#
發(fā)表于 2025-3-29 05:54:20 | 只看該作者
ESSOT: An Expert Supporting System for Ontology Translation improve the quality of label translations. The system has been tested within the . project by translating the modelled ontology in three languages, whereby the results are compared with translations provided by the Microsoft Translator API. The provided results demonstrate the viability of our proposed approach.
45#
發(fā)表于 2025-3-29 10:46:13 | 只看該作者
Keyword Identification Using Text Graphlet Patternsed and scored to reflect the statistical dependency between these graphlet patterns and words labeled as keywords. Experimental results demonstrate the capability of the graphlet patterns in a keyword identification task when applied to MEDLINE, a standard research abstract dataset.
46#
發(fā)表于 2025-3-29 14:26:45 | 只看該作者
An LDA-Based Approach to Scientific Paper Recommendations. The proposed approach exploits a reliable knowledge source for building the user profile, and it alleviates the cold-start problem, typical of collaborative filtering techniques. We also present a preliminary evaluation of our approach on the DBLP.
47#
發(fā)表于 2025-3-29 16:53:27 | 只看該作者
48#
發(fā)表于 2025-3-29 20:02:03 | 只看該作者
49#
發(fā)表于 2025-3-30 03:03:03 | 只看該作者
Disentangling the Structure of Tables in?Scientific Literature a model that structures tables in a machine readable way and a methodology to automatically disentangle and transform tables into the modelled data structure. The method was tested in the domain of clinical trials: it achieved an F-score of 94.26?% for cell function identification and 94.84?% for identification of inter-cell relationships.
50#
發(fā)表于 2025-3-30 06:16:49 | 只看該作者
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