Datasets:
Tasks:
Text Classification
Modalities:
Text
Formats:
json
Sub-tasks:
intent-classification
Languages:
Dutch
Size:
10K - 100K
License:
added citation information
Browse files
README.md
CHANGED
@@ -157,7 +157,19 @@ This dataset contains real user questions, including a rather large section (7%)
|
|
157 |
|
158 |
### Citation Information
|
159 |
|
160 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
161 |
|
162 |
<!-- ### Contributions
|
163 |
|
|
|
157 |
|
158 |
### Citation Information
|
159 |
|
160 |
+
```
|
161 |
+
@inproceedings{buhmann-etal-2022-domain,
|
162 |
+
title = "Domain- and Task-Adaptation for {V}accin{C}hat{NL}, a {D}utch {COVID}-19 {FAQ} Answering Corpus and Classification Model",
|
163 |
+
author = "Buhmann, Jeska and De Bruyn, Maxime and Lotfi, Ehsan and Daelemans, Walter",
|
164 |
+
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
|
165 |
+
month = oct,
|
166 |
+
year = "2022",
|
167 |
+
address = "Gyeongju, Republic of Korea",
|
168 |
+
publisher = "International Committee on Computational Linguistics",
|
169 |
+
url = "https://aclanthology.org/2022.coling-1.312",
|
170 |
+
pages = "3539--3549"
|
171 |
+
}
|
172 |
+
```
|
173 |
|
174 |
<!-- ### Contributions
|
175 |
|