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Titlebook: Natural Language Processing and Information Systems; 24th International C Elisabeth Métais,Farid Meziane,Mohamad Saraee Conference proceedi

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发表于 2025-3-23 13:31:10 | 显示全部楼层
0302-9743 a and web analytics; question answering; corpus analysis; semantic web, open linked data, and ontologies; natural language in conceptual modeling; natural language and ubiquitous computing; and big data and business intelligence..978-3-030-23280-1978-3-030-23281-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
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Discourse-Driven Argument Mining in Scientific Abstractsct a pilot study by enriching a corpus of computational linguistics abstracts that contains discourse annotations with a new argumentative annotation level. The results obtained from preliminary experiments confirm the potential value of the proposed approach.
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0302-9743 ems, NLDB 2019, held in Salford, UK, in June 2019.. The 21 full papers and 16 short papers were carefully reviewed and selected from 75 submissions. The papers are organized in the following topical sections: argumentation mining and applications; deep learning, neural languages and NLP; social medi
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Sachin Kumar,Regina Politit tothose who facilitate the learning of adults in a variety of settings as well as to students and supervisors seeking exemplars and ‘justification‘ for working in non-traditional ways. .978-1-137-56295-1
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Nikola Milošević,Dimitar Marinov,Abdullah Gök,Goran Nenadić
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Learning Mobile App Embeddings Using Multi-task Neural Networkneural architecture also learns generic app-embeddings, which aid in other unsupervised tasks like nearest neighbor analysis and app clustering. Various qualitative and quantitative experiments are performed on these learned embeddings to achieve promising results.
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