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This dataset contains all the trained ML, LSTM, and BERT family models trained on five folds (both on data with and without pre-processing) on the Dronology Dataset. These models are additional material to the replication package available Here. Please cite the original paper (information available here: https://github.com/a66as/REFSQ2023-ReqORNot/ ).
Additional material (1/2) for the replication package: https://github.com/a66as/REFSQ2023-ReqORNot/
Requirements identification, tender documents, NLP, Requirements classification
Requirements identification, tender documents, NLP, Requirements classification
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 6 | |
| downloads | 1 |

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