Title :
Context based domain identification for resolving ambiguity
Author :
Saktel, P. ; Shrawankar, Urmila
Author_Institution :
Dept. of Comput. Sci. & Eng., G.H. Raisoni Coll. of Eng., Nagpur, India
Abstract :
Context based Domain identification is a task of identifying correct domain of a word from the sentence. Domain identification is used to resolve ambiguity of words based on context of sentence. Context is a unique proof of meaning and its sentence. Hence, using this unique utility ambiguity is resolved. In this paper, the three stages are discussed which describes the previous and proposed work. This paper briefly focuses on second stage. The second stage describes the technique used to identify domain. After identification how the system is trained to select correct domain is explained. Lastly, the related results are shown. This paper describes usefulness of resolving ambiguity, which helps people to understand meaning of the sentence.
Keywords :
natural language processing; ambiguity resolution; context based domain identification; natural language processing; sentence meaning; unique utility ambiguity; Accuracy; Context; Training; Supervised Training; Synonymy; Word Ambiguity; WordNet Domain;
Conference_Titel :
Computing Communication & Networking Technologies (ICCCNT), 2012 Third International Conference on
Conference_Location :
Coimbatore
DOI :
10.1109/ICCCNT.2012.6396060