Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Samir Elloumi"'
Publikováno v:
Journal of Information and Telecommunication, Vol 4, Iss 3, Pp 383-403 (2020)
Most of the information is available in the form of unstructured textual documents due to the growth of information sources (the Web for example). In this respect, to extract a set of events from texts written in natural language in the management ch
Externí odkaz:
https://doaj.org/article/6af3ba53f5e04a52896c99335407e30a
Publikováno v:
IEEE Access, Vol 7, Pp 18772-18782 (2019)
In this paper, we introduce an approach to automatically convert simple modern standard Arabic children's stories to the best representative images that can efficiently illustrate the meaning of words. It is a kind of imitating the imaginative proces
Externí odkaz:
https://doaj.org/article/60e9b901cddb47c58c03610f4a0892a5
Autor:
Samir Elloumi, Nzamba Bignoumba
Publikováno v:
International Journal of Advanced Computer Science and Applications. 14
Autor:
Samir Elloumi
Publikováno v:
Natural Language Engineering. 26:221-243
Textual Feature Selection (TFS) aims to extract relevant parts or segments from text as being the most relevant ones w.r.t. the information it expresses. The selected features are useful for automatic indexing, summarization, document categorization,
Autor:
Samir Elloumi
Publikováno v:
Multimedia Tools and Applications. 78:22183-22197
There are many levels in the task of information extraction. Level 1 deals with named entities such as PERSON, ORG, DATE, etc. Level 2 concerns the role played by the named entities wrt a specific event. For instance, in a management change event, a
Publikováno v:
IEEE Access, Vol 7, Pp 18772-18782 (2019)
In this paper, we introduce an approach to automatically convert simple modern standard Arabic children’s stories to the best representative images that can efficiently illustrate the meaning of words. It is a kind of imitating the imaginative proc
Publikováno v:
Computational Collective Intelligence ISBN: 9783030283766
ICCCI (1)
ICCCI (1)
Most of the information is available in the form of unstructured textual documents due to the growth of information sources (the Web for example). In this respect, to extract a set of events from texts written in natural language in the management ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::310cf739f56512c6ced07dfbe3023146
https://doi.org/10.1007/978-3-030-28377-3_20
https://doi.org/10.1007/978-3-030-28377-3_20
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030276171
DEXA (2)
DEXA (2)
A data scientist could apply several machine learning approaches in order to discover valuable knowledge from the data. While applying several techniques, he might discover that some pieces of knowledge are invariant, what ever the technique he used.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7194f3bafefe860c34099fc79ea77f62
https://doi.org/10.1007/978-3-030-27618-8_27
https://doi.org/10.1007/978-3-030-27618-8_27
Publikováno v:
Information Sciences. 336:129-144
We present a new approach called "MinGenCoverage" for conceptual binary relation covering.We start by locating the isolated points and we extract their corresponding mandatory concepts.In case of properties composition, we consider only the minimal g
Autor:
Ali Jaoua, Samir Elloumi, Jihad Mohamad Alja'am, Fethi Ferjani, Helmi Hammami, Romaric Besançon, Nasredine Semmar
Publikováno v:
Journal of Information Science
Journal of Information Science, SAGE Publications, 2013, 39, pp.211-224. ⟨10.1177/0165551512464140⟩
Journal of Information Science, 2013, 39, pp.211-224. ⟨10.1177/0165551512464140⟩
Journal of Information Science, SAGE Publications, 2013, 39, pp.211-224. ⟨10.1177/0165551512464140⟩
Journal of Information Science, 2013, 39, pp.211-224. ⟨10.1177/0165551512464140⟩
International audience; Starting from an ontology of a targeted financial domain corresponding to transaction, performance and $management\ change$ news, relevant segments of text containing at least a domain keyword are extracted. The linguistic pat