Zone identification based on features with high semantic richness and combining results of separate classifiers-Reference-Cited by-同舟云学术

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Zone identification based on features with high semantic richness and combining results of separate classifiers

Published:2018-04-12 Issue:4 Volume:2 Page:411-427
ISSN:2475-1839
Container-title:Journal of Information and Telecommunication
language:en
Short-container-title:Journal of Information and Telecommunication

Author:

Badie Kambiz¹^ORCID,Asadi Nasrin²^ORCID,Tayefeh Mahmoudi Maryam³

Affiliation:

1. Knowledge Management & e-Organization Group, IT Research Faculty, ICT Research Institute, Tehran, Iran

2. IT Research Faculty, ICT Research Institute, Tehran, Iran

3. Multimedia Research Group, IT Research Faculty, ICT Research Institute, Tehran, Iran

Publisher

Informa UK Limited

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Computer Science (miscellaneous)

Link

https://www.tandfonline.com/doi/pdf/10.1080/24751839.2018.1460083

Reference13 articles.

1. Automatically classifying sentences in full-text biomedical articles into Introduction, Methods, Results and Discussion

2. English and French journal abstracts in the language sciences: Three exploratory studies

3. Using Typed Dependencies to Study and Recognise Conceptualisation Zones in Biomedical Literature

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4. A deep learning approach for context-aware citation recommendation using rhetorical zone classification and similarity to overcome cold-start problem;Journal of Ambient Intelligence and Humanized Computing;2022-05-28

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