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Published in 2022 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1448
Abstract: This paper reports on a thorough analysis of the scientific literature using data and text mining to uncover knowledge from online reviews due to their importance as userāgenerated content. In this context, more than 12,000…
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Keywords:
online reviews;
text mining;
data text;
analysis ... See more keywords
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Published in 2020 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-019-01176-7
Abstract: In this paper, we propose a language generation model for the world of ambient intelligence (AmI). Various devices in use today are connected to the Internet and are used to provide a considerable amount of…
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Keywords:
data text;
generation;
ambient intelligence;
text generation ... See more keywords
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Published in 2023 at "Natural Language Engineering"
DOI: 10.1017/s1351324923000207
Abstract: This paper proposes a sequence-to-sequence model for data-to-text generation, called DM-NLG, to generate a natural language text from structured nonlinguistic input. Specifically, by adding a dynamic memory module to the attention-based sequence-to-sequence model, it can…
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Keywords:
dynamic memory;
data text;
model;
text ... See more keywords
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Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13095573
Abstract: Data-to-text generation plays an important role in natural language processing by processing structured data and helping people understand those data by generating user-friendly descriptive text. It can be applied to news generation, financial report generation,…
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Keywords:
distantly supervised;
data text;
generation;
supervised data ... See more keywords