Subscribe Now Subscribe Today
Research Article
 

Discourse Anaphora Resolution Strategy Based on Syntactic and Semantic Analysis



Yan Qiang, Ruiliang Ma and Wei Wei
 
Facebook Twitter Digg Reddit Linkedin StumbleUpon E-mail
ABSTRACT

With the dramatic development of computer network technique, different kinds of information have been enhancing quickly and the requirements for precisely located information gives a strong impetus to the NLP research. Natural Language Processing (NLP) research on the subject that how to make computer understand and generate unrestricted natural language text,such as Chinese, English,etc. It brings computer the understanding ability of natural language meaning and responding the questions persons asked in natural language. Its purpose is building a friendly relationship between human and machine; enabling computers communicate information in a high rate. As an important method for discourse connecting and consistency, the employ of anaphor makes discourse looks brief and anaphora reflects the semantic relations between sentences and makes a discourse be a discourse.

Services
Related Articles in ASCI
Similar Articles in this Journal
Search in Google Scholar
View Citation
Report Citation

 
  How to cite this article:

Yan Qiang, Ruiliang Ma and Wei Wei, 2013. Discourse Anaphora Resolution Strategy Based on Syntactic and Semantic Analysis. Information Technology Journal, 12: 8204-8211.

DOI: 10.3923/itj.2013.8204.8211

URL: https://scialert.net/abstract/?doi=itj.2013.8204.8211
 

REFERENCES
Fong, K., 2009. Anaphora resolution of key issues. Ph.D. Thesis, University of Suzhou, China.

Hu, N.Q., 2009. Eigenvector-based Chinese anaphora resolution research and system implementation. Ph.D. Thesis, University of Suzhou, China.

Lang, J., B. Qin and T. Liu, 2007. Intra-document coreference resolution: The state of the art. J. Chin. Language Comput., 17: 227-253.

Li G.C., 2005. Preferred strategy using personal pronouns Chinese anaphora resolution. Chin. Inform. Technol., 19: 24-30.

Wang, H.F., 2000. Chinese anaphora resolution and omitted restoration. Ph.D. Thesis, Institute of Acoustics, China.

Wang, H.F., 2002. Anaphora resolution of the basic methods and implementation techniques of Chinese. Inform. Process., 16: 9-17.

Wang, X.L. and Y. Guan, 2005. Computer Natural Language. Tsinghua University Press, Beijing.

Wang, Z.Q., 2006. Chinese anaphora resolution and related technology research. Ph.D. Thesis, Beijing University of Posts and Telecommunications.

Xu, M. and C.C. Wang, 1999. Chinese middle-generation study and discuss the problem. Southwest China Normal Univ.: Nat. Sci. Edn., 63: 337-376.

Yang, Y., 2008. Eigenvector-based research noun phrase anaphora resolution. Ph.D. Thesis, University of Suzhou, China.

Zhang, W. and C.L. Zhou, 2002. Chinese discourse understanding meta preliminary anaphora resolution. J. Software, 13: 732-737.

Zhou, J.S., 2007. Graph partitioning based unsupervised Chinese anaphora resolution algorithms. Chin. Inform. Technol., 21: 77-82.

©  2020 Science Alert. All Rights Reserved