Name
Title | ||
|---|---|---|
Extracting aspects of determiner meaning from dialogue in a virtual world environment |
Abstract | ||
|---|---|---|
We use data from a virtual world game for automated learning of words and grammatical constructions and their meanings. The language data are an integral part of the social interaction in the game and consist of chat dialogue, which is only constrained by the cultural context, as set by the nature of the provided virtual environment. Building on previous work, where we extracted a vocabulary for concrete objects in the game by making use of the non-linguistic context, we now target NP/DP grammar, in particular determiners. We assume that we have captured the meanings of a set of determiners if we can predict which determiner will be used in a particular context. To this end we train a classifier that predicts the choice of a determiner on the basis of features from the linguistic and non-linguistic context. |
Year | Venue | Keywords |
|---|---|---|
2011 | IWCS | dp grammar,automated learning,virtual world environment,particular determiner,language data,chat dialogue,virtual world game,virtual environment,cultural context,non-linguistic context,extracting aspect,particular context,determiner meaning |
Field | DocType | Citations |
Social relation,Determiner,Virtual machine,Computer science,Grammar,Natural language processing,Artificial intelligence,Cultural context,Classifier (linguistics),Vocabulary,Linguistics | Conference | 2 |
PageRank | References | Authors |
0.39 | 13 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hilke Reckman | 1 | 45 | 5.34 |
| Jeff Orkin | 2 | 173 | 14.29 |
| Deb Roy | 3 | 1033 | 92.10 |