An approach for summarization of two-sentences Vietnamese paragraph

نویسندگان

  • Trung Tran
  • Dang Tuan Nguyen
چکیده

The purpose of this paper is to introduce a general approach for summarizing the meaning of Vietnamese paragraphs based on simple two-sentences. The studied objects are paragraphs having the common characteristics: the first sentence has one or two nouns indicating human objects; the second sentence has one or two anaphoric pronouns. We only consider two types of Vietnamese human pronouns in this research: the pronouns standing alone in the sentence; the pronouns standing with demonstrative adjective in the sentence. At the first phase, depending on the context of pronouns in the second sentence, we propose appropriate strategies to find the exact human object at the first sentence which is referred to by each pronoun. A discourse structure is also built to represent the meaning of each paragraph. At the second phase, each discourse representation will be transformed to a syntactic structure of meaning-summarizing sentence. The final phase complete the new sentence of summarization.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

EXTRACTION-BASED TEXT SUMMARIZATION USING FUZZY ANALYSIS

Due to the explosive growth of the world-wide web, automatictext summarization has become an essential tool for web users. In this paperwe present a novel approach for creating text summaries. Using fuzzy logicand word-net, our model extracts the most relevant sentences from an originaldocument. The approach utilizes fuzzy measures and inference on theextracted textual information from the docu...

متن کامل

A survey on Automatic Text Summarization

Text summarization endeavors to produce a summary version of a text, while maintaining the original ideas. The textual content on the web, in particular, is growing at an exponential rate. The ability to decipher through such massive amount of data, in order to extract the useful information, is a major undertaking and requires an automatic mechanism to aid with the extant repository of informa...

متن کامل

Biogeography-Based Optimization Algorithm for Automatic Extractive Text Summarization

    Given the increasing number of documents, sites, online sources, and the users’ desire to quickly access information, automatic textual summarization has caught the attention of many researchers in this field. Researchers have presented different methods for text summarization as well as a useful summary of those texts including relevant document sentences. This study select...

متن کامل

A Primary Study on Summarization of Documents in Vietnamese

ION There are some statistical-based sentence extraction methods applied to English documents to get the automatically summaries. In this paper, we present a Vietnamese text summarization case-study based on evaluation and extraction of highly informative sentences to abstract documents, assisting users in reducing the time required to study and grasp information in Vietnamese, particularly app...

متن کامل

Distributed Representation of Sentences for Speculative Language Recognition in Biomedical Articles

We explore the automatic identification of speculative language in biomedical articles using distributed representation of sentences and deep learning methods. Such an identification has potential applications in information retrieval, multi-document summarization and knowledge discovery. We explore two methods that learn distributed representations of sentences, Paragraph Vector model and Recu...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • EAI Endorsed Trans. Context-aware Syst. & Appl.

دوره 3  شماره 

صفحات  -

تاریخ انتشار 2016