Supporting Collaborative Modeling via Natural Language Processing

Author:

Aydemir Fatma Başak,Dalpiaz Fabiano

Publisher

Springer International Publishing

Reference34 articles.

1. van der Aa, H., Leopold, H., Reijers, H.A.: Comparing textual descriptions to process models - the automatic detection of inconsistencies. Inf. Syst. 64, 447–460 (2017)

2. Aydemir, F.B., Dalpiaz, F.: Towards aligning multi-concern models via NLP. In: Proceedings of the MoDRE-RE (2017)

3. Aydemir, F.B., Dalpiaz, F.: Online appendix: supporting collaborative modelling via NLP. Figshare. https://figshare.com/s/e4a13da8404bcb74e0a0

4. Beheshti, S.-M.-R., et al.: Process matching techniques. In: Beheshti, S.-M.-R., et al. (eds.) Process Analytics, pp. 61–90. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-25037-3_3

5. Cer, D.M., Diab, M.T., Agirre, E., Lopez-Gazpio, I., Specia, L.: SemEval-2017 task 1: semantic textual similarity - multilingual and cross-lingual focused evaluation. CoRR abs/1708.00055 (2017). http://arxiv.org/abs/1708.00055

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