Semantic role induction in Persian: An unsupervised approach by using probabilistic models-Reference-Cited by-同舟云学术

Semantic role induction in Persian: An unsupervised approach by using probabilistic models

Published:2014-09-20 Issue:1 Volume:31 Page:181-203
ISSN:2055-7671
Container-title:Digital Scholarship in the Humanities
language:en
Short-container-title:Digital Scholarship Humanities

Author:

Saeedi Parisa,Faili Heshaam,Shakery Azadeh

Publisher

Oxford University Press (OUP)

Subject

Computer Science Applications,Linguistics and Language,Language and Linguistics,Information Systems

Link

http://academic.oup.com/dsh/article-pdf/31/1/181/8082905/fqu044.pdf

Reference47 articles.

1. Abend O Reichart R Rappoport A . Unsupervised Argument Identification for Semantic RoleLabeling, Proceedings of ACL-IJCNLP. Singapore; 2009. p. 28-36.

2. Abolhassani Chime Z . An Account for Compound Prepositions in Farsi, Proceedings of the COLING/ACL on Main Conference Poster Sessions (COLING-ACL ‘06). Association for Computational Linguistics. Stroudsburg, PA; 2006. p. 113-19.

3. Baker C F Fillmore C J Lowe J B . The Berkeley Framenet Project, Proceedings of the 17th International Conference on Computational Linguistics (COLING/ACL-98). Montreal; 1998. p. 86-90.

4. Prepositions in Applications: A Survey and Introduction to the Special Issue

5. BijanKhan M . The role of the corpus in writing a grammar. An introduction to software. Iranian Journal of Linguistics 2004;19(2).

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