Ten-years research progress of natural language understanding based on perceptual formalization

Peihong Huang; Guo Lei Zheng; Shilong Ma

doi:10.1007/978-3-030-01313-4_20

Ten-years research progress of natural language understanding based on perceptual formalization

Peihong Huang^*
, Guo Lei Zheng
, Shilong Ma

^*Corresponding author for this work

School of Mechanical Engineering and Automation

Bank of China
Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper introduces the research progress of machinery truly understanding of natural language from three aspects. First, this paper explains why to carry out data or feature description by perceptual structure. Secondly, this paper summarizes the main understanding algorithms since the theory of machinery truly understanding has been proposed, and emphasizes the recent research progress. Finally, in view of current research status, this paper gives some research directions of natural language understanding in the future.

Original language	English
Title of host publication	Intelligence Science II - Third IFIP TC 12 International Conference, ICIS 2018, Proceedings
Editors	Cyriel Pennartz, Tiejun Huang, Zhongzhi Shi
Publisher	Springer New York LLC
Pages	191-200
Number of pages	10
ISBN (Print)	9783030013127
DOIs	https://doi.org/10.1007/978-3-030-01313-4_20
State	Published - 2018
Event	3rd International Conference on Intelligence Science, ICIS 2018 - Beijing, China Duration: 2 Nov 2018 → 5 Nov 2018

Publication series

Name	IFIP Advances in Information and Communication Technology
Volume	539
ISSN (Print)	1868-4238

Conference

Conference	3rd International Conference on Intelligence Science, ICIS 2018
Country/Territory	China
City	Beijing
Period	2/11/18 → 5/11/18

Keywords

Natural language understanding
P-semantics computation
Perception
Semantics
Understanding mechanism

Access to Document

10.1007/978-3-030-01313-4_20

Cite this

Huang, P., Zheng, G. L., & Ma, S. (2018). Ten-years research progress of natural language understanding based on perceptual formalization. In C. Pennartz, T. Huang, & Z. Shi (Eds.), Intelligence Science II - Third IFIP TC 12 International Conference, ICIS 2018, Proceedings (pp. 191-200). (IFIP Advances in Information and Communication Technology; Vol. 539). Springer New York LLC. https://doi.org/10.1007/978-3-030-01313-4_20

Huang, Peihong ; Zheng, Guo Lei ; Ma, Shilong. / Ten-years research progress of natural language understanding based on perceptual formalization. Intelligence Science II - Third IFIP TC 12 International Conference, ICIS 2018, Proceedings. editor / Cyriel Pennartz ; Tiejun Huang ; Zhongzhi Shi. Springer New York LLC, 2018. pp. 191-200 (IFIP Advances in Information and Communication Technology).

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title = "Ten-years research progress of natural language understanding based on perceptual formalization",

abstract = "This paper introduces the research progress of machinery truly understanding of natural language from three aspects. First, this paper explains why to carry out data or feature description by perceptual structure. Secondly, this paper summarizes the main understanding algorithms since the theory of machinery truly understanding has been proposed, and emphasizes the recent research progress. Finally, in view of current research status, this paper gives some research directions of natural language understanding in the future.",

keywords = "Natural language understanding, P-semantics computation, Perception, Semantics, Understanding mechanism",

author = "Peihong Huang and Zheng, \{Guo Lei\} and Shilong Ma",

note = "Publisher Copyright: {\textcopyright} IFIP International Federation for Information Processing 2018.; 3rd International Conference on Intelligence Science, ICIS 2018 ; Conference date: 02-11-2018 Through 05-11-2018",

year = "2018",

doi = "10.1007/978-3-030-01313-4\_20",

language = "英语",

isbn = "9783030013127",

series = "IFIP Advances in Information and Communication Technology",

publisher = "Springer New York LLC",

pages = "191--200",

editor = "Cyriel Pennartz and Tiejun Huang and Zhongzhi Shi",

booktitle = "Intelligence Science II - Third IFIP TC 12 International Conference, ICIS 2018, Proceedings",

}

Huang, P, Zheng, GL & Ma, S 2018, Ten-years research progress of natural language understanding based on perceptual formalization. in C Pennartz, T Huang & Z Shi (eds), Intelligence Science II - Third IFIP TC 12 International Conference, ICIS 2018, Proceedings. IFIP Advances in Information and Communication Technology, vol. 539, Springer New York LLC, pp. 191-200, 3rd International Conference on Intelligence Science, ICIS 2018, Beijing, China, 2/11/18. https://doi.org/10.1007/978-3-030-01313-4_20

Ten-years research progress of natural language understanding based on perceptual formalization. / Huang, Peihong; Zheng, Guo Lei; Ma, Shilong.
Intelligence Science II - Third IFIP TC 12 International Conference, ICIS 2018, Proceedings. ed. / Cyriel Pennartz; Tiejun Huang; Zhongzhi Shi. Springer New York LLC, 2018. p. 191-200 (IFIP Advances in Information and Communication Technology; Vol. 539).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Ten-years research progress of natural language understanding based on perceptual formalization

AU - Huang, Peihong

AU - Zheng, Guo Lei

AU - Ma, Shilong

N1 - Publisher Copyright: © IFIP International Federation for Information Processing 2018.

PY - 2018

Y1 - 2018

N2 - This paper introduces the research progress of machinery truly understanding of natural language from three aspects. First, this paper explains why to carry out data or feature description by perceptual structure. Secondly, this paper summarizes the main understanding algorithms since the theory of machinery truly understanding has been proposed, and emphasizes the recent research progress. Finally, in view of current research status, this paper gives some research directions of natural language understanding in the future.

AB - This paper introduces the research progress of machinery truly understanding of natural language from three aspects. First, this paper explains why to carry out data or feature description by perceptual structure. Secondly, this paper summarizes the main understanding algorithms since the theory of machinery truly understanding has been proposed, and emphasizes the recent research progress. Finally, in view of current research status, this paper gives some research directions of natural language understanding in the future.

KW - Natural language understanding

KW - P-semantics computation

KW - Perception

KW - Semantics

KW - Understanding mechanism

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U2 - 10.1007/978-3-030-01313-4_20

DO - 10.1007/978-3-030-01313-4_20

M3 - 会议稿件

AN - SCOPUS:85056461177

SN - 9783030013127

T3 - IFIP Advances in Information and Communication Technology

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BT - Intelligence Science II - Third IFIP TC 12 International Conference, ICIS 2018, Proceedings

A2 - Pennartz, Cyriel

A2 - Huang, Tiejun

A2 - Shi, Zhongzhi

PB - Springer New York LLC

T2 - 3rd International Conference on Intelligence Science, ICIS 2018

Y2 - 2 November 2018 through 5 November 2018

ER -

Huang P, Zheng GL, Ma S. Ten-years research progress of natural language understanding based on perceptual formalization. In Pennartz C, Huang T, Shi Z, editors, Intelligence Science II - Third IFIP TC 12 International Conference, ICIS 2018, Proceedings. Springer New York LLC. 2018. p. 191-200. (IFIP Advances in Information and Communication Technology). doi: 10.1007/978-3-030-01313-4_20

Ten-years research progress of natural language understanding based on perceptual formalization

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