Name
Abstract | ||
|---|---|---|
Humans produce speech incrementally and on-line as the dialogue progresses using information from several different sources in parallel. A dialogue system that generates output in a stepwise manner and not in preplanned syntactically correct sentences needs to signal how new dialogue contributions relate to previous discourse. This paper describes a data collection which is the foundation for an effort towards more human-like language generation in DEAL, a spoken dialogue system developed at KTH. Two annotators labelled cue phrases in the corpus with high inter-annotator agreement (kappa coefficient 0.82). |
Year | Venue | Keywords |
|---|---|---|
2008 | SIGDIAL Workshop | data collection,human-like language generation,annotators labelled cue phrase,high inter-annotator agreement,different source,previous discourse,kappa coefficient,dialogue system,preplanned syntactically correct sentence,new dialogue contribution,computer science |
Field | DocType | Citations |
Data collection,Computer science,Cohen's kappa,Artificial intelligence,Natural language processing,Linguistics | Conference | 9 |
PageRank | References | Authors |
1.02 | 3 | 1 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Anna Hjalmarsson | 1 | 157 | 13.86 |