Abstract

There have been several challenges in summarization of Thai multiple documents since Thai language itself lacks of explicit word/phrase/sentence boundaries. This paper gives definition of Thai Elementary Discourse Unit (TEDU) and then presents our three-stage summarization process. Towards implementation of this process, we propose unit segmentation using TEDUs and their derivatives, unit-graph formation using iterative unit weighting and cosine similarity, and unit selection using highest-weight priority, redundancy removal, and post-selection weight recalculation. To examine performance of the proposed methods, a number of experiments are conducted using fifty sets of Thai news articles with their manually constructed reference summary. By three common evaluation measures of ROUGE-1, ROUGE-2, and ROUGE-SU4, the results evidence that (1) our TEDU-based summarization outperforms paragraph-based summarization, (2) our iterative weighting is superior to traditional TF-IDF, (3) the highest-weight priority without centroid preference and unit redundancy consideration helps improving summary quality, and (4) post-selection weight recalculation tends to raise summarization performance under some certain circumstances.

Keywords

MSC

68-T50

Cite this article

@article{cai-2209,
  author  = {Nongnuch Ketui and Thanaruk Theeramunkong},
  title   = {Thai Multi-Document Summarization: Unit Segmentation, Unit-Graph Formulation, and Unit Selection},
  journal = {Computing and Informatics},
  volume  = {35},
  number  = {1},
  pages   = {1--29},
  year    = {2016},
  issn    = {1335-9150},
  url     = {https://cai.type.sk/content/2016/1/thai-multi-document-summarization-unit-segmentation,-unit-graph-formulation,-and-unit-selection/}
}
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