| Corpus Details | gender/age) based on the prior and joint modeling of the partner speaker’s gender/age in the same discourse. |
| Corpus Details | We employ several varieties of classifier stacking and joint modeling to be effectively sensitive to these differences. |
| Corpus Details | A novel partner-sensitve model shows performance gains from the joint modeling of speaker attributes along with partner speaker attributes, given the differences in lexical usage and discourse style such as observed between same-gender and mixed-gender conversations. |