Comprehensibility of text and subgraph deletion in synset networks

Authors

Pamela Anne Pasion ⋅ PH National Institute of Physics, University of the Philippines Diliman
Josephine Jill Cabatbat ⋅ PH National Institute of Physics, University of the Philippines Diliman
Giovanni Tapang ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

We measure the comprehensibility of texts subjected to deletion of synsets based from WordNet and the deletion of words from sets of subgraphs with the same number of nodes. The texts with deleted concepts were subjected to a reading comprehension survey with a total of 540 college students as respondents. The number of words deleted in the network were found to decrease with increasing size of the synsets deleted. The comprehension was found to generally decrease with increasing number of words deleted in the text. For a more clustered network, comprehension was not found to depend solely on the number of words deleted but also on the size of the set of synset subgraphs deleted.

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Issue

2013: Proceedings of the 31st Samahang Pisika ng Pilipinas Physics Congress

Article ID

SPP2013-PB-4

Section

Poster Session PB

Published

2013-10-23

How to Cite

[1]

PA Pasion, JJ Cabatbat, and G Tapang, Comprehensibility of text and subgraph deletion in synset networks, Proceedings of the Samahang Pisika ng Pilipinas 31, SPP2013-PB-4 (2013). URL: https://proceedings.spp-online.org/article/view/SPP2013-PB-4.