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Deep learning (DL) based software systems are difficult to develop and maintain in industrial settings due to several challenges. Data management is one of the most prominent challenges which complicates DL in industrial deployments. DL models are da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3f3433432f0197cb34cb7160c232dd2
http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-53358
http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-53358
Publikováno v:
Natural Language Processing and Information Systems ISBN: 9783030805982
NLDB
NLDB
Deep learning models based on the Transformers architecture have achieved impressive state-of-the-art results and even surpassed human-level performance across various natural language processing tasks. However, these models remain opaque and hard to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1393ac0c6699b9b9373b68312287d0c9
https://doi.org/10.1007/978-3-030-80599-9_8
https://doi.org/10.1007/978-3-030-80599-9_8
Publikováno v:
SEAA
Deep learning is one of the most exciting and fast-growing techniques in Artificial Intelligence. The unique capacity of deep learning models to automatically learn patterns from the data differentiates it from other machine learning techniques. Deep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6510b13a14c110bd23e652e9e4457b7
Publikováno v:
SEAA
Surprisingly promising results have been achieved by deep learning (DL) systems in recent years. Many of these achievements have been reached in academic settings, or by large technology companies with highly skilled research groups and advanced supp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cb0238f51fa2d2d0ca5a1a70b50dfb5
Autor:
Anders Arpteg
Publikováno v:
International Conference on Integration of Knowledge Intensive Multi-Agent Systems, 2005..
A major problem with information extraction (IE) systems is that it is difficult to handle a large number of domains. This problem can be handled in various ways. One way is to try to create a system that is as general as possible and can extraction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4926593417c5add05aa761843873d50
https://doi.org/10.1109/kimas.2005.1427120
https://doi.org/10.1109/kimas.2005.1427120
