Using Lexical Alignment and Referring Ability to Address Data Sparsity in Situated Dialog Reference Resolution (D18-1)
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| Challenge: | Existing work on exophoric reference resolution for situated dialogs is limited to a literary model . et al., 2010) showed that it is possible to improve dialogic reference resolving by incrementally adapting word semantic model parameters to idiosyncratic language use by dyad partners. |
| Approach: | They propose to use a logistic regression model to adapt a model to idiosyncratic language . they first train a log regression model and then use it to learn the general referring ability of each word . |
| Outcome: | The proposed methods improve dialogic reference resolution without annotation of referring expressions even with little background data. |
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