Earticle

초록

영어

Words are basic structural units of language that combine with each other to form sentences. The learning strength of combinative relations between words is of key importance in sentence structure analysis. Inspired by the analogies between words and lymphocytes, a multi-word-agent autonomous learning model based on an artificial immune system is proposed to learn word combination strength. The model is constructed via Cellular Automation, and words are modeled as B cell word agents and as antigen word agents. The language network is then simulated as an immune network. Meanwhile, Spreading Activation is employed to simulate idiotypic interactions between B cells. This research provides a completely new perspective on language and words and introduces biologically inspired processes from immune systems into the proposed model. The most significant advantage of the model is the ability of continuous learning and the concise implementation method. According to the graph-based dependency parsing method, the syntax dependency tree of a sentence can be predicted based on word combination strength in a bottom-up paradigm, from pairs of smaller structures to larger structures. Therefore, the effectiveness of the model can be verified by sentence dependency parsing. The experimental results on the Penn Chinese Treebank 5.1 indicate that our model can effectively and continuously learn word combination strength.

목차

Abstract
 1. Introduction
 2. Related Work
  2.1. Immune-based Learning
  2.2. Agent-based Modeling
 3. Multi-word-agent Autonomous Learning Model
  3.1. Multi-word-agent Autonomous Learning Model
 3.2. Representations of Word Agents
 3.3. Evaluation Function
 3.4. Behaviors
 3.5. System Objective Function
 4. Experimental Results
  4.1. Data Sets and Experimental Design
  4.2. Results
 5. Conclusions and Future Works
 References

키워드

저자

• Jinfeng Yang [ School of Computer Science and Techonlogy, Harbin Institute of Technology, Harbin, 150001, P.R. China ]
• Yi Guan [ School of Computer Science and Techonlogy, Harbin Institute of Technology, Harbin, 150001, P.R. China ]
• Xishuang Dong [ School of Computer and Information Technology, Xinyang Normal University, Xinyang, 464000, P.R. China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605