Argumentation Mining in User-Generated Web Discourse
Table 5: Correlations between αU and various measures on different data sub-sets. SC – full sentence coverage; DL – document length; APL – average paragraph length; ASL = average sentence length; ARI, C-L (Coleman-Liau), Flesch, LIX – readability measures. Bold numbers denote statistically significant correlation (p<0.05).
['[EMPTY]', '[BOLD] SC', '[BOLD] DL', '[BOLD] APL', '[BOLD] ASL', '[BOLD] ARI', '[BOLD] C-L', '[BOLD] Flesch', '[BOLD] LIX']
We observed the following statistically significant (p<0.05) correlations. First, document length negatively correlates with agreement in comments. The longer the comment was the lower the agreement was. Second, average paragraph length negatively correlates with agreement in blog posts. The longer the paragraphs in blogs were, the lower agreement was reached. Third, all readability scores negatively correlate with agreement in the public vs. private school domain, meaning that the more complicated the text in terms of readability is, the lower agreement was reached. We observed no significant correlation in sentence coverage and average sentence length measures. We cannot draw any general conclusion from these results, but we can state that some registers and topics, given their properties, are more challenging to annotate than others.