TV-AfD: An Imperative-Annotated Corpus from The Big Bang Theory and Wikipedia’s Articles for Deletion Discussions
This is a corpus with imperative and non-imperative sentences from the TV show The Big Bang Theory and Wikipedia Articles for Deletion. We used rule-based classification and manual annotation to classify imperative sentences.
We include both raw data and classified data in this repository. Each file in the raw data is from one episode with each line representing one dialogue from that specific episode. In the tab-separated classification data file, each line represents one dialogue. The columns respectively are: data source (in the formant of nxmm with 'n' indicating the season of the show and 'mm' representing the episode), text, imperative classification (1 for imperative and 0 for non-imperative), imperative category, and whether the imperative sentence has affixal negative markers or not.
We only include classified data for sentences from this source. The file is tab seperated with two columns of text and classification (1 for imperative and 0 for non-imperative) respectively. Each line represent one instance of data.
When using this dataset for any academic work or publication, please cite the following paper:
Yimin Xiao, Zong-Ying Slaton, and Lu Xiao. 2020. TV-AfD: An Imperative-Annotated Corpus from The Big Bang Theory and Wikipedia’s Articles for Deletion Discussions. In Proceedings of The 12th Language Resources and Evaluation Conference, European Language Resources Association, Marseille, France, 6544–6550. Retrieved from https://www.aclweb.org/anthology/2020.lrec-1.805