Semantic Predicative Analysis for Resolving Some Cases of Ambiguous Referents of Pronoun Nó in Summarizing Meaning of Two Vietnamese Sentences
Trung Thanh Tran, Dang Tuan Nguyen · international conference on Modelling and simulation · 2015
In this paper, with the combination of text summarization and generation ideas, we introduce a method for summarizing some types of two-sentences based Vietnamese paragraphs. The main characteristic of each pair is that two sentences associate together by pronoun no appearing at the second sentence--the special one in this kind of lexical category in Vietnamese, can indicate human, animated or non-animated object depending on the context of the paragraph. Our method idea is that we generate a new Vietnamese sentence having the content which summarizes the semantic of the original pair. This method composes following tasks: i) find the object which is denoted by pronoun no, ii) model the semantic of the source sentence pair by a logical form, iii) identify factors representing relationships between nouns, verbs and adjectives, iv) generate the syntactic structure of the new reducing sentence, v) build the lexical set and complete the new sentence. Applying this method in the experiment, we firstly identify the antecedence for each anaphoric pronoun and build the logical form for testing paragraphs. Then, we test the ability to generate the new sentence from each logical form. The results show that new Vietnamese sentences satisfy the given requirements.