A target-oriented text scanning mechanism

Hai Zhuge, Bei Xu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

One important human reading style is target-oriented, which only focuses on target-related contents. This paper reports the realization of a text scanning mechanism that simulates human target reading process. The reading process is simulated by identifying target reading scope and modeling memory operations such as recall, association and forget. The impressions of words change during reading. Experiments show that: (1) the mechanism is in line with human target reading process, (2) the mechanism can extract the target-related content from text, and (3) the mechanism can measure target-oriented text similarity.

Original languageEnglish
Title of host publicationProceedings - 2017 13th International Conference on Semantics, Knowledge and Grids, SKG 2017
PublisherIEEE
Pages132-138
Number of pages7
Volume2018-January
ISBN (Electronic)9781538625583
DOIs
Publication statusPublished - 19 Jan 2018
Event13th International Conference on Semantics, Knowledge and Grids, SKG 2017 - Beijing, China
Duration: 14 Aug 201715 Aug 2017

Conference

Conference13th International Conference on Semantics, Knowledge and Grids, SKG 2017
CountryChina
CityBeijing
Period14/08/1715/08/17

Fingerprint

Scanning
Data storage equipment
Target
Experiments
Text
Line
Modeling
Experiment
Human

Keywords

  • simulation
  • target reading
  • text scanning

Cite this

Zhuge, H., & Xu, B. (2018). A target-oriented text scanning mechanism. In Proceedings - 2017 13th International Conference on Semantics, Knowledge and Grids, SKG 2017 (Vol. 2018-January, pp. 132-138). IEEE. https://doi.org/10.1109/SKG.2017.00029
Zhuge, Hai ; Xu, Bei. / A target-oriented text scanning mechanism. Proceedings - 2017 13th International Conference on Semantics, Knowledge and Grids, SKG 2017. Vol. 2018-January IEEE, 2018. pp. 132-138
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Zhuge, H & Xu, B 2018, A target-oriented text scanning mechanism. in Proceedings - 2017 13th International Conference on Semantics, Knowledge and Grids, SKG 2017. vol. 2018-January, IEEE, pp. 132-138, 13th International Conference on Semantics, Knowledge and Grids, SKG 2017, Beijing, China, 14/08/17. https://doi.org/10.1109/SKG.2017.00029

A target-oriented text scanning mechanism. / Zhuge, Hai; Xu, Bei.

Proceedings - 2017 13th International Conference on Semantics, Knowledge and Grids, SKG 2017. Vol. 2018-January IEEE, 2018. p. 132-138.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - One important human reading style is target-oriented, which only focuses on target-related contents. This paper reports the realization of a text scanning mechanism that simulates human target reading process. The reading process is simulated by identifying target reading scope and modeling memory operations such as recall, association and forget. The impressions of words change during reading. Experiments show that: (1) the mechanism is in line with human target reading process, (2) the mechanism can extract the target-related content from text, and (3) the mechanism can measure target-oriented text similarity.

AB - One important human reading style is target-oriented, which only focuses on target-related contents. This paper reports the realization of a text scanning mechanism that simulates human target reading process. The reading process is simulated by identifying target reading scope and modeling memory operations such as recall, association and forget. The impressions of words change during reading. Experiments show that: (1) the mechanism is in line with human target reading process, (2) the mechanism can extract the target-related content from text, and (3) the mechanism can measure target-oriented text similarity.

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Zhuge H, Xu B. A target-oriented text scanning mechanism. In Proceedings - 2017 13th International Conference on Semantics, Knowledge and Grids, SKG 2017. Vol. 2018-January. IEEE. 2018. p. 132-138 https://doi.org/10.1109/SKG.2017.00029