Abstract

This paper presents an important phase of our new approach for summarizing the given Vietnamese paragraph. The central of this phase is an algorithm for computing verbal relationships in the process of generating the Vietnamese paragraph from the logical expression of discourse representation structure (DRS), which is the first-order logic expressions without explicit quantifiers, and represents the meaning as well as reflects the potential contexts of a given discourse or a sequence of sentences. By defining elements to describe the appropriate information in each predicate of the logical expression (or can be called “DRS-conditions”), the algorithm is based on in turn considering three consecutive predicates in a logical expression for determining: the relationship between the first and second sentence, the relationship between the second and third sentence, and the priority when comparing these two relationships. The evaluation achieves two given criteria: the semantic completeness of summarization, and the natural quality of new reduced paragraph.

Highlights

  • IntroductionThe study of transforming a given paragraph to a new summary

  • The study of transforming a given paragraph to a new summary (Das and Martins [7], Lloret [20], Mani and Mayburi [21], Jezek and Steinberger [13], Jones [14,15]) has to answer three important questions (Jones [14,15]): (i) how to represent the meaning of the source paragraph; (ii) how to construct a computing representation form of the destination paragraph by transforming the source computing representation form; (iii) how to transform the destination computing representation form into the complete paragraph

  • Follow the idea of “abstraction”, this paper addresses an important problem in our new approach for summarizing the given Vietnamese paragraph having more than two simple sentences: generate the new reduced Vietnamese paragraph from the logical expression of discourse representation structure (DRS) (Kamp [16], Covington and Schmitz [5], Covington et al [6], Blackburn and Bos [1])—under the form of expressions without explicit quantifiers in firstorder logic (FOL)

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Summary

Introduction

The study of transforming a given paragraph to a new summary Using the logical expression representing the semantic of the paragraph, our objective is to propose a solution for transforming this logical expression into a new reduced complete Vietnamese paragraph. Lan (x) vui_veij (x) con_trai (y) h.oc_cùng (x,y) khoái_chí (y) d-iêij m_cao (z) d-u’.o’c (y,z). ∃x∃y∃z[lan(x) & vui_veij (x) &con_trai (y) & ho.c_cùng (x,y) & khoái_chí (y) & d-iêij m_cao (z) & được (y,z)]. With this logical expression, we transform into the new reduced Vietnamese paragraph as follows:. The considered objects in this research are complete logical expressions encoding the semantics of Vietnamese paragraphs. The heart of the proposed solution is an algorithm that auto generates the new reduced Vietnamese paragraph from the logical expression.

Abstraction summarization literature review
Tree-based method
Template-based method
Ontology-based method
Lead and body phrase method
Rule-based method
Multimodal semantic model
Information item-based method
Semantic graph-based method
Overview of paragraph summarization by generating reduced paragraph
Generation of summarizing paragraphs
Predicate characteristic structure
Predicate relationships and sentence structure generation
Experiment and analysis
Discussion and conclusion

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