Name
Abstract | ||
|---|---|---|
The paper presents the results of the Shared Task hosted by the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering co-located at ACL 2022. The primary goal of this Shared Task is to build goal-oriented information-seeking conversation systems that are grounded in the domain documents, where each dialogue could correspond to multiple sub-goals that are based on different documents. The task is to generate agent responses in natural language given the dialogue and document contexts. There are two task settings and leader-boards based on (1) the same sets of domains (SEEN) and (2) one unseen domain (UNSEEN). There are over 20 teams participating in Dev Phase and 8 teams participating in both Dev and Test Phases. There are multiple submissions that significantly outperform the baseline. The best-performing system achieves 52.06 F1 and the total of 191.30 on the SEEN task; and 34.65 F1 and the total of 130.79 on the UNSEEN task. |
Year | DOI | Venue |
|---|---|---|
2022 | 10.18653/v1/2022.dialdoc-1.18 | PROCEEDINGS OF THE SECOND DIALDOC WORKSHOP ON DOCUMENT-GROUNDED DIALOGUE AND CONVERSATIONAL QUESTION ANSWERING (DIALDOC 2022) |
DocType | Volume | Citations |
Conference | Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering | 0 |
PageRank | References | Authors |
0.34 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Song Feng | 1 | 280 | 19.55 |
| Siva Patel | 2 | 0 | 0.34 |
| Hui Wan | 3 | 0 | 0.34 |