Name
Abstract | ||
|---|---|---|
The Dialog State Tracking Challenge 4 (DSTC 4) differentiates itself from the previous three editions as follows: the number of slot-value pairs present in the ontology is much larger, no spoken language understanding output is given, and utterances are labeled at the subdialog level. This article describes a novel dialog state tracking method designed to work robustly under these conditions, using elaborate string matching, coreference resolution tailored for dialogs and a few other improvements. The method can correctly identify many values that are not explicitly present in the utterance. On the final evaluation, our method came in first among 7 competing teams and 24 entries. The F1-score achieved by our method was 9 and 7 percentage points higher than that of the runner-up for the utterance-level evaluation and for the subdialog-level evaluation, respectively. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1007/978-981-10-2585-3_39 | IWSDS |
DocType | Volume | Citations |
Conference | abs/1605.02130 | 4 |
PageRank | References | Authors |
0.44 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Franck Dernoncourt | 1 | 149 | 35.39 |
| Ji Young Lee | 2 | 140 | 14.99 |
| Trung H. Bui | 3 | 86 | 21.88 |
| Hung Hai Bui | 4 | 1188 | 112.37 |