A practical text summarizer by paragraph extraction for Thai

Abstract

In this paper, we propose a practical approach for extracting the most relevant paragraphs from the original document to form a summary for Thai text. The idea of our approach is to exploit both the local and global properties of paragraphs. The local property can be considered as clusters of significant words within each paragraph, while the global property can be though of as relations of all paragraphs in a document. These two properties are combined for ranking and extracting summaries. Experimental results on real-world data sets are encouraging.

Automatic Text Summarization Using Hybrid Fuzzy GA-GP

“…The main reasons for using the above features are explained in the papers by Brandow [6] and Baxendale [7]. Brandow et al have shown that summaries consisting of leading sentences outperform most other methods in this field.…”

“…The most important part in this procedure is the definition of fuzzy IF_THEN rules. We determine these rules according to our criteria [4], [6] and [7]. We define 729 rules.…”

“…Table 1 shows a comparison of these three summarizers when applied to 3 different test documents. Summarization is evaluated by three parameters precision (P), recall (R), F (Overall Fitness) and f (our objective function) as explained in [7]. These parameters are defined as follows.…”

“…Baxendale demonstrated that sentences located at the beginning and end of paragraphs are likely to be good summary sentences. Here, features 2 and 3 of the above list are extracted according to [7], assuming that paragraphs begin with an indentation in formal texts.…”

News Relation Discovery Based on Association Rule Mining with Combining Factors

“…Their text summary was exCopyright c 2011 The Institute of Electronics, Information and Communication Engineers tracted by a graph search technique, identifying a set of segments that represent the content of a document whose similarity score is the most significant. In [19], another approach to Thai news text summarization was proposed to extract the most relevant paragraphs (important portions) from the original document and then reform a summary. As an early work on relation discovery in multiple Thai documents, Kittiphattanabawon and Theeramunkong [20] have proposed a method based on association rule mining to find the relations among Thai news documents.…”