Abstract
Previous work on social power modelling from linguistic cues has
been limited by the range of available data. We introduce a new corpus of dialogues,
elicited in a controlled experimental setting where participant roles were
manipulated to generate a perceived difference in social power. Initial results
demonstrate successful differentiation of upwards, downwards, and level communications, using a classifier built on a small set of stylistic features.
been limited by the range of available data. We introduce a new corpus of dialogues,
elicited in a controlled experimental setting where participant roles were
manipulated to generate a perceived difference in social power. Initial results
demonstrate successful differentiation of upwards, downwards, and level communications, using a classifier built on a small set of stylistic features.
| Original language | English |
|---|---|
| Pages (from-to) | 9 - 26 |
| Journal | International Journal of Computational Linguistics and Applications |
| Volume | 6 |
| Issue number | 1 |
| Publication status | Published - 1 Jun 2015 |
| Event | 16th International Conference on Intelligent Text Processing and Computational Linguistics - Egypt, Cairo, Egypt Duration: 14 Apr 2015 → 20 Apr 2015 |
