DocumentCode
2347561
Title
Semantic role labeling for Bengali using 5Ws
Author
Das, Amitava ; Ghosh, Aniruddha ; Bandyopadhyay, Sivaji
Author_Institution
Comput. Sci. & Eng. Dept., Jadavpur Univ., Kolkata, India
fYear
2010
fDate
21-23 Aug. 2010
Firstpage
1
Lastpage
8
Abstract
In this paper we present different methodologies to extract semantic role labels of Bengali nouns using 5W distilling. The 5W task seeks to extract the semantic information of nouns in a natural language sentence by distilling it into the answers to the 5W questions: Who, What, When, Where and Why. As Bengali is a resource constraint language, the building of annotated gold standard corpus and acquisition of linguistics tools for features extraction are described in this paper. The tag label wise reported precision values of the present system are: 79.56% (Who), 65.45% (What), 73.35% (When), 77.66% (Where) and 63.50% (Why).
Keywords
computational linguistics; natural language processing; text analysis; 5W questions; Bengali nouns; linguistics tools; natural language sentence; resource constraint language; semantic role labeling; Grammar; Instruments; Labeling; Natural languages; Pragmatics; Semantics; Syntactics; 5Ws; Bengali Noun; Semantic Role Labelin;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Language Processing and Knowledge Engineering (NLP-KE), 2010 International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-6896-6
Type
conf
DOI
10.1109/NLPKE.2010.5587772
Filename
5587772
Link To Document