Zobrazeno 1 - 10
of 395
pro vyhledávání: '"Noisy text analytics"'
Autor:
Raul Gomez, Andrew D. Bagdanov, Dimosthenis Karatzas, Anguelos Nicolaou, Dena Bazazian, Lluis Gomez
Publikováno v:
Pattern Recognition Letters. 119:112-120
Class-specific text proposal algorithms can efficiently reduce the search space for possible text object locations in an image. In this paper we combine the Text Proposals algorithm with Fully Convolutional Networks to efficiently reduce the number o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::40ca4e83c85a17cdf7479816db784022
https://doi.org/10.1016/j.patrec.2017.08.030
https://doi.org/10.1016/j.patrec.2017.08.030
Publikováno v:
Neurocomputing. 275:2444-2458
In this paper, we propose a novel corpus-based enrichment approach for short text clustering. Since sparseness brings about the problem of insufficient word co-occurrence and lack of context information, previous researches use external sources such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::025655f233f9140d3635ec936fd69dca
https://doi.org/10.1016/j.neucom.2017.11.019
https://doi.org/10.1016/j.neucom.2017.11.019
Publikováno v:
Cluster Computing. 22:10883-10895
Subject words represent the brief information of the text. Text automatic summary reflects its theme and core content. In this paper, the research is conducted on multi-feature fusion algorithm on subject words extraction and summary generation of Ti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::39f3782ccc4d1e8804e2106090b19af2
https://doi.org/10.1007/s10586-017-1219-3
https://doi.org/10.1007/s10586-017-1219-3
Publikováno v:
Expert Systems with Applications. 83:314-325
A new classifier is presented to detect undesired short text comments.The proposed approach is light, fast, multinomial and offers incremental learning.The impact of applying text normalization and semantic indexing is studied.The results indicate th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df5008dc0d4654900bb86a6f9792e097
https://doi.org/10.1016/j.eswa.2017.04.055
https://doi.org/10.1016/j.eswa.2017.04.055
Publikováno v:
International Journal of Engineering and Technology. 9:2820-2827
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd421b217dd822091416a1c8d4368f4b
https://doi.org/10.21817/ijet/2017/v9i4/170904007
https://doi.org/10.21817/ijet/2017/v9i4/170904007
Publikováno v:
Soft Computing. 22:4013-4023
Many researches have been converging on automatic text summarization as increasing of text documents due to the expansion of information diffusion constantly. The objective of this proposal is to achieve the most reliable and substantial context or m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9b106cfda1289528b563c72b17bf67fd
https://doi.org/10.1007/s00500-017-2612-9
https://doi.org/10.1007/s00500-017-2612-9
Publikováno v:
Keldysh Institute Preprints. :1-21
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::45fabc44cc3d0df58c16eac0a148ebfb
https://doi.org/10.20948/prepr-2017-32
https://doi.org/10.20948/prepr-2017-32
Publikováno v:
IEEE Access, Vol 5, Pp 3193-3204 (2017)
ICPR
ICPR
Scene text information extraction plays an important role in many computer vision applications. Most features in existing text extraction algorithms are only applicable to one text extraction stage (text detection or recognition), which significantly
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ec8404a35601f6bffc57c9b345f320b
https://ieeexplore.ieee.org/document/7870570/
https://ieeexplore.ieee.org/document/7870570/
Autor:
Hagit Shatkay
Publikováno v:
Encyclopedia of Bioinformatics and Computational Biology (2)
Much information in the biomedical domain is documented and shared in the form of text. From scientific abstracts and publications to patient records and annotations in database entries, words in natural language form the main currency in which we re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::42ae59fdf9f4f5aa8a25244fb20ea8ec
https://doi.org/10.1016/b978-0-12-809633-8.12370-2
https://doi.org/10.1016/b978-0-12-809633-8.12370-2
Publikováno v:
Safety Science. 89:72-76
The GB railways collect about 150,000 text-based records each year on potentially dangerous events and the numbers are on the increase in the Close Call System. The huge volume of text requires considerable human effort to its interpretation. This wo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bab817e33c4032866498342574bbfefd
https://doi.org/10.1016/j.ssci.2016.05.009
https://doi.org/10.1016/j.ssci.2016.05.009