Automatic acquisition of lexical formality
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
DASFAA'12 Proceedings of the 17th international conference on Database Systems for Advanced Applications - Volume Part I
Learning to predict from textual data
Journal of Artificial Intelligence Research
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Formality and its converse, informality, are important dimensions of authorial style that serve to determine the social background a particular document is coming from, and the potential audience it is targeted to. In this paper we explored the concept of formality at the sentence level from two different perspectives. One was the Formality Score (F-score) and its distribution across different datasets, how they compared with each other and how F-score could be linked to human-annotated sentences. The other was to measure the inherent agreement between two independent judges on a sentence annotation task. It gave us an idea how subjective the concept of formality was at the sentence level. Finally, we looked into the related issue of document readability and measured its correlation with document formality.