Skip to Main content Skip to Navigation
Conference papers

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.
Complete list of metadatas

Cited literature [40 references]  Display  Hide  Download

https://hal.inria.fr/hal-02118830
Contributor : Hal Ifip <>
Submitted on : Friday, May 3, 2019 - 1:26:57 PM
Last modification on : Friday, May 3, 2019 - 2:58:57 PM

File

 Restricted access
To satisfy the distribution rights of the publisher, the document is embargoed until : 2021-01-01

Please log in to resquest access to the document

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Peihong Huang, Guo-Lei Zheng, Shilong Ma. Ten-Years Research Progress of Natural Language Understanding Based on Perceptual Formalization. 2nd International Conference on Intelligence Science (ICIS), Nov 2018, Beijing, China. pp.191-200, ⟨10.1007/978-3-030-01313-4_20⟩. ⟨hal-02118830⟩

Share

Metrics

Record views

67