Zobrazeno 1 - 10
of 606
pro vyhledávání: '"Temporal annotation"'
Autor:
Thomas M. Ward, Danyal M. Fer, Yutong Ban, Guy Rosman, Ozanan R. Meireles, Daniel A. Hashimoto
Publikováno v:
Computer Assisted Surgery, Vol 26, Iss 1, Pp 58-68 (2021)
Annotation of surgical video is important for establishing ground truth in surgical data science endeavors that involve computer vision. With the growth of the field over the last decade, several challenges have been identified in annotating spatial,
Externí odkaz:
https://doaj.org/article/370937f185064f45bb36ef3bd366d7c0
Autor:
Walt Detmar Meurers
Publikováno v:
The Encyclopedia of Applied Linguistics
As a relatively young field of research and development that began with work on crypt-analysis and machine translation around 50 years ago, natural language processing (NLP) is concerned with the automated processing of human language. Keywords: CALL
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7db0f7542db483620b1651078181805
https://doi.org/10.1002/9781405198431.wbeal0858.pub2
https://doi.org/10.1002/9781405198431.wbeal0858.pub2
Publikováno v:
Computer Assisted Surgery, Vol 26, Iss 1, Pp 58-68 (2021)
Annotation of surgical video is important for establishing ground truth in surgical data science endeavors that involve computer vision. With the growth of the field over the last decade, several challenges have been identified in annotating spatial,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c13159b6a8e37cbb8085b88cfc8cf2d3
https://doaj.org/article/370937f185064f45bb36ef3bd366d7c0
https://doaj.org/article/370937f185064f45bb36ef3bd366d7c0
Publikováno v:
Data Mining and Knowledge Discovery. 34:533-562
The extraction of temporal events from text and the classification of temporal relations among both temporal events and time expressions are major challenges for the interface of data mining and natural language processing. We present an ensemble met
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d8a826e1530a62faf2831bda34bc8ec
https://doi.org/10.1007/s10618-019-00671-x
https://doi.org/10.1007/s10618-019-00671-x
Autor:
Verhagen, Marc, Gaizauskas, Robert, Schilder, Frank, Hepple, Mark, Moszkowicz, Jessica, Pustejovsky, James
Publikováno v:
Language Resources and Evaluation, 2009 Jun 01. 43(2), 161-179.
Externí odkaz:
https://www.jstor.org/stable/27743609
Akademický článek
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Publikováno v:
Engineering the Computer Science and IT
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a451c600e30a216128a36bc781c78ee
http://www.intechopen.com/articles/show/title/application-of-semantic-networks-in-natural-language-issues
http://www.intechopen.com/articles/show/title/application-of-semantic-networks-in-natural-language-issues
Autor:
Alípio Mário Jorge, Gaël Dias, Tiago Cândido, Jorge Duque, Jorge Mendes, Célia Nunes, Ricardo Campos
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030722395
ECIR (2)
43rd European Conference on Information Retrieval (ECIR)
43rd European Conference on Information Retrieval (ECIR), 2021, Lucca, Italy
ECIR (2)
43rd European Conference on Information Retrieval (ECIR)
43rd European Conference on Information Retrieval (ECIR), 2021, Lucca, Italy
Over the past few years, the amount of information generated, consumed and stored on the Web has grown exponentially, making it impossible for users to keep up to date. Temporal data representation can help in this process by giving documents a sense
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb5bef1c3e0fe6b3f74700122d728f51
https://doi.org/10.1007/978-3-030-72240-1_53
https://doi.org/10.1007/978-3-030-72240-1_53
Publikováno v:
IEEE transactions on cybernetics. 51(12)
A long-term visual object tracking performance evaluation methodology and a benchmark are proposed. Performance measures are designed by following a long-term tracking definition to maximize the analysis probing strength. The new measures outperform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::570ea0938995fa3a24c40825e7dbf89d
https://pubmed.ncbi.nlm.nih.gov/32248144
https://pubmed.ncbi.nlm.nih.gov/32248144
Publikováno v:
International Workshop in Big Mobility Data Analytics-EDBT/ICDT Workshops, 30/03/2020
info:cnr-pdr/source/autori:Guidotti R.; Nanni M.; Sbolgi F./congresso_nome:International Workshop in Big Mobility Data Analytics-EDBT%2FICDT Workshops/congresso_luogo:/congresso_data:30%2F03%2F2020/anno:2020/pagina_da:/pagina_a:/intervallo_pagine
info:cnr-pdr/source/autori:Guidotti R.; Nanni M.; Sbolgi F./congresso_nome:International Workshop in Big Mobility Data Analytics-EDBT%2FICDT Workshops/congresso_luogo:/congresso_data:30%2F03%2F2020/anno:2020/pagina_da:/pagina_a:/intervallo_pagine
The large availability of mobility data allows studying human behavior and human activities. However, this massive and raw amount of data generally lacks any detailed semantics or useful categorization. Annotations of the locations where the users st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::87789a4eba0e021227cbe69ef28702c3
https://publications.cnr.it/doc/424846
https://publications.cnr.it/doc/424846