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Analogies between language and the immune system

  • Jinfeng Yang
  • , Yi Guan
  • , Xishuang Dong

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Striking analogies between human language and the immune system was first suggested by Jerne, an immunologist, in his Nobel lecture. Inspired by Jerne's opinion, we re-exploit these analogies between them, and propose that words can be regarded as B cells. Based on this proposed analogous comparison, a multi-word-agent autonomous learning model (MWAALM) is designed and implemented to learn the strengths of combinative relations between words, which are the rules dominating the order by that words compose a sentence. The model is validated on the task of dependency parsing and the task of word similarity computing. Results show that MWAALM obtains good performance on the two tasks, and analogies between words and B cells are proven to be plausible.

Original languageEnglish
Title of host publication2015 5th International Conference on Information Science and Technology, ICIST 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5-9
Number of pages5
ISBN (Electronic)9781479974894
DOIs
StatePublished - 2 Oct 2015
Event5th International Conference on Information Science and Technology, ICIST 2015 - Changsha, Hunan, China
Duration: 24 Apr 201526 Apr 2015

Publication series

Name2015 5th International Conference on Information Science and Technology, ICIST 2015

Conference

Conference5th International Conference on Information Science and Technology, ICIST 2015
Country/TerritoryChina
CityChangsha, Hunan
Period24/04/1526/04/15

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