Name
Title | ||
|---|---|---|
Joint identification and segmentation of domain-specific dialogue acts for conversational dialogue systems |
Abstract | ||
|---|---|---|
Individual utterances often serve multiple communicative purposes in dialogue. We present a data-driven approach for identification of multiple dialogue acts in single utterances in the context of dialogue systems with limited training data. Our approach results in significantly increased understanding of user intent, compared to two strong baselines. |
Year | Venue | Keywords |
|---|---|---|
2011 | ACL (Short Papers) | limited training data,multiple dialogue act,individual utterance,dialogue system,domain-specific dialogue act,conversational dialogue system,approach result,joint identification,multiple communicative purpose,strong baselines,single utterance,data-driven approach,user intent |
Field | DocType | Volume |
Training set,Segmentation,Dialogue acts,Computer science,User intent,Artificial intelligence,Natural language processing | Conference | P11-2 |
Citations | PageRank | References |
6 | 0.44 | 3 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fabrizio Morbini | 1 | 155 | 12.30 |
| Kenji Sagae | 2 | 1126 | 68.12 |