Title :
A solution for resolving inter-sentential anaphoric pronouns for Vietnamese paragraphs composing two single sentences
Author :
Trung Tran ; Dang Tuan Nguyen
Author_Institution :
Fac. of Comput. Sci., Univ. of Inf. Technol., Ho Chi Minh City, Vietnam
Abstract :
The aim of this paper is proposing a solution for resolving inter-sentential anaphoric pronouns for Vietnamese paragraphs in which each paragraph composes only two single sentences. We present the solution through two phases: phase one is posing suitable finding antecedent strategies for each pronoun; phase two is presenting the mechanisms which are performed in GULP (Graph Unification Logic Programming) for implementing these strategies. In this research, we classify the paragraphs into four groups based on distinct characteristics so that we can propose the suitable finding antecedent strategy for each group.
Keywords :
logic programming; natural language processing; GULP; Vietnamese paragraph; antecedent strategy; graph unification logic programming; intersentential anaphoric pronoun; sentence structure; Analytical models; Calculators; Cities and towns; Educational institutions; Indexes; Pattern recognition; Syntactics; Anaphora Resolution; Anaphoric Pronoun; Discourse Representation; Inter-sentential Anaphora; Unification-based Grammar;
Conference_Titel :
Soft Computing and Pattern Recognition (SoCPaR), 2013 International Conference of
Conference_Location :
Hanoi
Print_ISBN :
978-1-4799-3399-0
DOI :
10.1109/SOCPAR.2013.7054120