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pro vyhledávání: '"Roussinov, Dmitri"'
Autor:
Muresan, Gheorghe, Roussinov, Dmitri
Publikováno v:
Muresan, Gheorghe and Roussinov, Dmitri Where do good query terms come from?, 2006 . In 69th Annual Meeting of the American Society for Information Science and Technology (ASIST), Austin (US), 3-8 November 2006. [Conference paper]
This paper describes a framework for investigating the quality of different query expansion approaches, and applies it in the HARD TREC experimental setting. The intuition behind our approach is that each topic has an optimal term-based representatio
Externí odkaz:
http://eprints.rclis.org/8687/
Akademický článek
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Publikováno v:
Advances in Information Retrieval
Automatically recognizing an existing semantic relation (such as “is a”, “part of”, “property of”, “opposite of” etc.) between two arbitrary words (phrases, concepts, etc.) is an important task affecting many information retrieval and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmc_________::6207d280aa8f23f0784b81e27e461180
http://europepmc.org/articles/PMC7148207
http://europepmc.org/articles/PMC7148207
Identifying which patients are at higher risks of dying or being re-admitted often happens to be resource- and life- saving, thus is a very important and challenging task for healthcare text analytics. While many successful approaches exist to predic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f26598bddc72c1e1ef2bcfbb92fdf169
https://strathprints.strath.ac.uk/79833/1/Roussinov_etal_FIDH_2022_Predicting_clinical_events_based_on_raw_text.pdf
https://strathprints.strath.ac.uk/79833/1/Roussinov_etal_FIDH_2022_Predicting_clinical_events_based_on_raw_text.pdf
Autor:
Roussinov, Dmitri, Leon Zhao, J.
Publikováno v:
Journal of Enterprise Information Management, 2004, Vol. 17, Issue 6, pp. 424-429.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/17410390410566715
Autor:
ROUSSINOV, DMITRI1 Dmitri.Roussinov@cis.strath.ac.uk, WEIGUO FAN2 wfan@vt.edu, ROBLES-FLORES, JOSÉ3 jrobles@esan.edu.pe
Publikováno v:
Communications of the ACM. Sep2008, Vol. 51 Issue 9, p60-65. 6p. 1 Color Photograph, 1 Diagram, 2 Charts.
Artificial Intelligence Lab, Department of MIS, University of Arizona
Observations of Information Retrieval (IR) system user experiences reveal a strong desire for collaborative search while at the same time suggesting that collaborative capabil
Observations of Information Retrieval (IR) system user experiences reveal a strong desire for collaborative search while at the same time suggesting that collaborative capabil
Externí odkaz:
http://hdl.handle.net/10150/105688
Automatically recognizing an existing semantic relation (e.g. "is a", "part of", "property of", "opposite of" etc.) between two words (phrases, concepts, etc.) is an important task affecting many NLP applications and has been subject of extensive exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::817176943f609b3aaffaa672afca4497
https://strathprints.strath.ac.uk/75898/1/Roussinov_etal_LREC_2021_Recognizing_semantic_relations_by_combining_transformers_and_fully_connected_models.pdf
https://strathprints.strath.ac.uk/75898/1/Roussinov_etal_LREC_2021_Recognizing_semantic_relations_by_combining_transformers_and_fully_connected_models.pdf
Publikováno v:
In Decision Support Systems 2007 43(4):1404-1418