Name
Abstract | ||
|---|---|---|
This paper presents the NewsTeller system which retrieves a news event based on a user query and the user's general interests. It can be used by a social dialog system to initiate news-related small talk. The NewsTeller system is implemented as a pipeline with four stages: After collecting a large set of potentially relevant news events, a classifier is used to filter out malformed events. The remaining events are then ranked according to a relevance value predicted by a regressor. In a final step, a short summary of the highest-ranked event is generated and returned to the user. Both the classifier and the regressor were evaluated on hand-labeled data sets. In addition to this, a user study was conducted to further validate the system. Evaluation results indicate that the proposed approach performs significantly better than a random baseline. |
Year | Venue | Field |
|---|---|---|
2016 | Speech Communication; 12. ITG Symposium | Dialog box,World Wide Web,Small talk,Computer science,Event retrieval |
DocType | ISBN | Citations |
Conference | 978-3-8007-4275-2 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Lucas Bechberger | 1 | 3 | 2.76 |
| Maria Schmidt | 2 | 1 | 1.38 |
| Alex Waibel | 3 | 6343 | 1980.68 |
| marcello federico | 4 | 2420 | 179.56 |