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pro vyhledávání: '"Métais E"'
Akademický článek
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Publikováno v:
In Réanimation 2006 15(4):313-319
Open Information Extraction (OIE) is a challenging task of extracting relation tuples from an unstructured corpus. While several OIE algorithms have been developed in the past decade, only few employ deep learning techniques. In this paper, a novel O
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::4225645d4b979f2431c297fa986b3f71
https://dspace.library.uu.nl/handle/1874/388308
https://dspace.library.uu.nl/handle/1874/388308
The medical literature suffers from disagreements among authors discussing the same topic or treatment. With thousands of articles published daily, there is a need to detect inconsistent and often contradictory findings. Natural language inference (N
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______101::e1db1079e5140b006de7a39cad52b4ef
https://dspace.library.uu.nl/handle/1874/388309
https://dspace.library.uu.nl/handle/1874/388309
Autor:
Hürriyetoğlu, A., Oostdijk, N.H.J., Bosch, A.P.J. van den, Başar, M.E., Frasincar, F., Ittoo, A., Nguyen, L.M., Métais, E.
Publikováno v:
Frasincar, F.; Ittoo, A.; Nguyen, L.M. (ed.), Proceedings of Natural Language Processing and Information Systems. 22nd International Conference on Applications of Natural Language Systems, NLDB2017, pp. 138-141
Frasincar, F.; Ittoo, A.; Nguyen, L.M. (ed.), Proceedings of Natural Language Processing and Information Systems. 22nd International Conference on Applications of Natural Language Systems, NLDB2017, 138-141. Cham : Springer International Publishing
STARTPAGE=138;ENDPAGE=141;TITLE=Frasincar, F.; Ittoo, A.; Nguyen, L.M. (ed.), Proceedings of Natural Language Processing and Information Systems. 22nd International Conference on Applications of Natural Language Systems, NLDB2017
Frasincar, F.; Ittoo, A.; Nguyen, L.M. (ed.), Proceedings of Natural Language Processing and Information Systems. 22nd International Conference on Applications of Natural Language Systems, NLDB2017, 138-141. Cham : Springer International Publishing
STARTPAGE=138;ENDPAGE=141;TITLE=Frasincar, F.; Ittoo, A.; Nguyen, L.M. (ed.), Proceedings of Natural Language Processing and Information Systems. 22nd International Conference on Applications of Natural Language Systems, NLDB2017
Item does not contain fulltext Natural Language Processing and Information Systems. 22nd International Conference on Applications of Natural Language Systems, NLDB2017, 21 juni 2017
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::16345d4beb82f8e69e1df5ae34178996
https://hdl.handle.net/2066/181001
https://hdl.handle.net/2066/181001
Akademický článek
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Publikováno v:
Natural Language Processing and Information Systems: 17th International Conference On Applications Of Natural Language To Information Systems, NLDB 2012, Groningen, The Netherlands, June 26-28 2012: proceedings, 171-176
STARTPAGE=171;ENDPAGE=176;TITLE=Natural Language Processing and Information Systems
Natural Language Processing and Information Systems ISBN: 9783642311772
NLDB
STARTPAGE=171;ENDPAGE=176;TITLE=Natural Language Processing and Information Systems
Natural Language Processing and Information Systems ISBN: 9783642311772
NLDB
We describe a simple approach to named-entity recognition (NER), aimed initially at the Dutch language, but potentially applicable to other languages. Our NER system employs a two-stage architecture, with handcrafted but dataset-independent features
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e7688fb32b1227f9eb23ffdd62ca9d7
https://dare.uva.nl/personal/pure/en/publications/twostage-namedentity-recognition-using-averaged-perceptrons(29109bc8-b0de-4d93-bcdf-7b456f3e9235).html
https://dare.uva.nl/personal/pure/en/publications/twostage-namedentity-recognition-using-averaged-perceptrons(29109bc8-b0de-4d93-bcdf-7b456f3e9235).html
Autor:
Ittoo, R.A., Bouma, G., Maruster, L., Wortmann, J.C., Hopfe, C.J., Rezgui, Y., Métais, E., Preece, A., Li, H.
Publikováno v:
Proceedings of the 15th international conference on applications of natural language to information systems 2010, 6177, 48-59
Various techniques for learning meronymy relationships from open-domain corpora exist. However, extracting meronymy relationships from domain-specific, textual corporate databases has been overlooked, despite numerous application opportunities partic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::bbe404ee0580ab1a231fa6afd666cabd
https://research.rug.nl/en/publications/1d1490f9-4455-4ba0-a456-579c22d1448f
https://research.rug.nl/en/publications/1d1490f9-4455-4ba0-a456-579c22d1448f
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Akademický článek
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