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
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;
Conference_Titel :
Natural Language Processing and Knowledge Engineering (NLP-KE), 2010 International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6896-6
DOI :
10.1109/NLPKE.2010.5587772