Name
Abstract | ||
|---|---|---|
Within our ongoing effort to develop a computational model to understand multi-modal human dialogue in the field of elderly care, this paper focuses on pronominal and deictic co-reference resolution. After describing our data collection effort, we discuss our annotation scheme. We developed a co-reference model that employs both a simple notion of markable type, and multiple statistical models. Our results show that knowing the type of the markable, and the presence of simultaneous pointing gestures improve co-reference resolution for personal and deictic pronouns. |
Year | Venue | Keywords |
|---|---|---|
2011 | SIGDIAL Conference | co-reference resolution,deictic pronoun,ongoing effort,multiple statistical model,data collection effort,improving pronominal,annotation scheme,multi-modal feature,co-reference model,markable type,computational model,deictic co-reference resolution |
Field | DocType | Citations |
Data collection,Annotation,Computer science,Gesture,Statistical model,Artificial intelligence,Natural language processing,Deixis,Modal | Conference | 4 |
PageRank | References | Authors |
0.46 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lin Chen | 1 | 36 | 4.94 |
| Anruo Wang | 2 | 4 | 0.79 |
| Barbara Di Eugenio | 3 | 801 | 109.27 |