Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Adrian M. P. Brasoveanu"'
Publikováno v:
Neural Processing Letters. 53:3055-3072
The nuances of languages, as well as the varying degrees of truth observed in news items, make fake news detection a difficult problem to solve. A news item is never launched without a purpose, therefore in order to understand its motivation it is be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80e2a88abc8aace307f6ff84a33febd9
https://doi.org/10.1007/s11063-020-10365-x
https://doi.org/10.1007/s11063-020-10365-x
Publikováno v:
Proceedings of the Association for Information Science and Technology. 56:468-471
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e7dd2882528f03c330a02bedca456719
https://doi.org/10.1002/pra2.49
https://doi.org/10.1002/pra2.49
Publikováno v:
WI/IAT
Automatic extraction of forum posts and metadata is a crucial but challenging task since forums do not expose their content in a standardized structure. Content extraction methods, therefore, often need customizations such as adaptations to page temp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::664544c49f0109a889a9a6b36617c9dd
http://arxiv.org/abs/2102.02240
http://arxiv.org/abs/2102.02240
Publikováno v:
IV
The introduction of Transformer neural networks has changed the landscape of Natural Language Processing during the last three years. While models inspired by it have managed to lead the boards for a variety of tasks, some of the mechanisms through w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fe8d669cf21e5fbfa83956503248583
https://doi.org/10.1109/iv51561.2020.00051
https://doi.org/10.1109/iv51561.2020.00051
Publikováno v:
RANLP
Gold standard corpora and competitive evaluations play a key role in benchmarking named entity linking (NEL) performance and driving the development of more sophisticated NEL systems. The quality of the used corpora and the used evaluation metrics ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fa88b7a55a237ca5d026eeb4dcc5516
https://doi.org/10.26615/978-954-452-056-4_152
https://doi.org/10.26615/978-954-452-056-4_152
Publikováno v:
Advances in Computational Intelligence ISBN: 9783030205201
IWANN (1)
IWANN (1)
Fake news detection is a difficult problem due to the nuances of language. Understanding the reasoning behind certain fake items implies inferring a lot of details about the various actors involved. We believe that the solution to this problem should
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03741a9cd09197c21d1ed90dd5bf6cb7
https://doi.org/10.1007/978-3-030-20521-8_54
https://doi.org/10.1007/978-3-030-20521-8_54
Autor:
Daniel Fischl, Alexander Hubmann-Haidvogel, Arno Scharl, Marta Sabou, Adrian M. P. Brasoveanu
Publikováno v:
Semantic Web. 8:113-137
In a global and interconnected economy, decision makers often need to consider information from various domains. A tourism destination manager, for example, has to correlate tourist behavior with financial and environmental indicators to allocate fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::84c77cbccadb6ad93538e3a10719d299
https://doi.org/10.3233/sw-160225
https://doi.org/10.3233/sw-160225
Publikováno v:
Information Technology & Tourism. 16:71-101
The complexity of the social, political and economical settings in which tourism enterprises operate, increasingly require them to perform data analytics tasks that rely on data from various domains (e.g., economy, environmental sustainability). A su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::66f0e7aab7b768672d07a2dec8125ae6
https://doi.org/10.1007/s40558-015-0049-5
https://doi.org/10.1007/s40558-015-0049-5
Publikováno v:
WIMS
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics-WIMS 18
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics -WIMS '18
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics-WIMS 18
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics -WIMS '18
Knowledge-rich Information Extraction (IE) methods aspire towards combining classical IE with background knowledge obtained from third-party resources. Linked Open Data repositories that encode billions of machine readable facts from sources such as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ad95a0dddbd50a8936d2deb141b12a46
https://doi.org/10.1145/3227609.3227670
https://doi.org/10.1145/3227609.3227670
Publikováno v:
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics-WIMS 18
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics -WIMS '18
WIMS
Proceedings of the 8th International Conference on Web Intelligence, Mining and Semantics -WIMS '18
WIMS
The news media landscape tends to focus on long-running narratives. Correctly processing new information, therefore, requires considering multiple lenses when analyzing media content. Traditionally it would have been considered sufficient to extract
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e9c70629d4565fd7b250f201429defc4