Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Wafa Wali"'
Improved Sentence Similarity Measurement in the Medical Field Based on Syntactico-Semantic Knowledge
Autor:
Wafa Wali, Bilel Gargouri
Publikováno v:
Intelligent Systems Design and Applications ISBN: 9783030963071
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::039809b58fa628bfddba375a891d4cd0
https://doi.org/10.1007/978-3-030-96308-8_83
https://doi.org/10.1007/978-3-030-96308-8_83
Autor:
Wafa Wali, Bilel Gargouri
Publikováno v:
Hybrid Intelligent Systems ISBN: 9783030730499
HIS
HIS
Computing the semantic similarity of two sentences is a task central to automated understanding of natural languages. In data mining Technology, sentence similarity computation is a key problem. As we know a sentence can be presented by many kinds of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::afa7b5a650f94264fc1feb04fc01de9e
https://doi.org/10.1007/978-3-030-73050-5_40
https://doi.org/10.1007/978-3-030-73050-5_40
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030166595
ISDA (2)
ISDA (2)
The issue of plagiarism in documents has been present for centuries. Yet, the widespread dissemination of information technology, including the internet, made plagiarism much easier. Consequently, methods and systems aiding in the detection of plagia
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::23f56f40d7e7fb05613aed68de3fb94a
https://doi.org/10.1007/978-3-030-16660-1_26
https://doi.org/10.1007/978-3-030-16660-1_26
Publikováno v:
Knowledge Science, Engineering and Management ISBN: 9783030295509
KSEM (1)
International Conference on Knowledge Science, Engineering and Management KSEM 2019
International Conference on Knowledge Science, Engineering and Management KSEM 2019, Aug 2019, Athènes, Greece. ⟨10.1007/978-3-030-29551-6_54⟩
KSEM (1)
International Conference on Knowledge Science, Engineering and Management KSEM 2019
International Conference on Knowledge Science, Engineering and Management KSEM 2019, Aug 2019, Athènes, Greece. ⟨10.1007/978-3-030-29551-6_54⟩
International audience; Question-answering systems face a challenge related to the process of deciding automatically about the veracity of a given answer. This issue is particularly problematic when handling open-ended questions. In this paper, we pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09447efc75e31bb9f7d66fa8c2fc8582
https://doi.org/10.1007/978-3-030-29551-6_54
https://doi.org/10.1007/978-3-030-29551-6_54
Publikováno v:
Neural Information Processing ISBN: 9783030367176
ICONIP (3)
ICONIP 2019. International Conference on Neural Information Processing
ICONIP 2019. International Conference on Neural Information Processing, Dec 2019, Sydney, Australia. pp.127-139, ⟨10.1007/978-3-030-36718-3⟩
ICONIP (3)
ICONIP 2019. International Conference on Neural Information Processing
ICONIP 2019. International Conference on Neural Information Processing, Dec 2019, Sydney, Australia. pp.127-139, ⟨10.1007/978-3-030-36718-3⟩
International audience; In the context of the Captain Memo memory prosthesis for Alzheimer’s patients, we want to generate the family/entourage tree of the user from data structured based on the PersonLink ontology. This graph ought to be accessibl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::020b33b557809a2071b893dbbe8cf64c
https://doi.org/10.1007/978-3-030-36718-3_11
https://doi.org/10.1007/978-3-030-36718-3_11
Publikováno v:
Digital Health in Focus of Predictive, Preventive and Personalised Medicine ISBN: 9783030498146
International Conference on Digital Health Technologies (ICDHT 2019)
International Conference on Digital Health Technologies (ICDHT 2019), Dec 2019, Hammamet, Tunisia
International Conference on Digital Health Technologies (ICDHT 2019)
International Conference on Digital Health Technologies (ICDHT 2019), Dec 2019, Hammamet, Tunisia
In this paper, we aim to offer a smart search functionality for a memory prosthesis for Alzheimer’s patients. This functionality is based on a multilingual semantic similarity-based approach. It estimates the similarity between the user’s search
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9ee242c53de86057bc42625b20dabfa
https://hal.archives-ouvertes.fr/hal-02465555
https://hal.archives-ouvertes.fr/hal-02465555
Publikováno v:
Vietnam Journal of Computer Science. 4:51-60
The measure of sentence similarity is useful in various research fields, such as artificial intelligence, knowledge management, and information retrieval. Several methods have been proposed to measure the sentence similarity based on syntactic and/or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b98ee76adf7a2c06eca6dd65882fe9e8
https://doi.org/10.1007/s40595-016-0080-2
https://doi.org/10.1007/s40595-016-0080-2
Publikováno v:
Computational Linguistics and Intelligent Text Processing ISBN: 9783319754765
CICLing (1)
CICLing (1)
This paper presents a novel algorithm to measure semantic similarity between sentences. It will introduce a method that takes into account of not only semantic knowledge but also syntactico-semantic knowledge notably semantic predicate, semantic clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eead4beaf4e2f60ea39afe5ca7defdb
https://doi.org/10.1007/978-3-319-75477-2_44
https://doi.org/10.1007/978-3-319-75477-2_44
Publikováno v:
Computación y Sistemas. 21
Sentence similarity computing is increasingly growing in several applications, such as question answering, machine-translation, information retrieval and automatic abstracting systems. This paper firstly sums up several methods to calculate similari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::10dd3e1aacf343419b80ada907b7f343
https://doi.org/10.13053/cys-21-4-2853
https://doi.org/10.13053/cys-21-4-2853
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783319763477
ISDA
ISDA
Plagiarism detection it is a challenging task, particularly in natural language texts. Some plagiarism detection tools have been developed for diverse natural languages, especially English. In this paper, we propose, a new plagiarism detection system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::83f8f122f24b64fb0bd8068efcbe2b23
https://doi.org/10.1007/978-3-319-76348-4_6
https://doi.org/10.1007/978-3-319-76348-4_6