Abstract
We present the first study that examines the evolution of morphological families, i.e., sets of morphologically related words such as “trump”, “antitrumpism”, and “detrumpify”, in social media. We introduce the novel task of Morphological Family Expansion Prediction (MFEP) as predicting the increase in the size of a morphological family. We create a ten-year Reddit corpus as a benchmark for MFEP and evaluate a number of baselines on this benchmark. Our experiments demonstrate very good performance on MFEP.- Anthology ID:
- 2020.acl-main.649
- Volume:
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Month:
- July
- Year:
- 2020
- Address:
- Online
- Editors:
- Dan Jurafsky, Joyce Chai, Natalie Schluter, Joel Tetreault
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 7273–7283
- Language:
- URL:
- https://aclanthology.org/2020.acl-main.649
- DOI:
- 10.18653/v1/2020.acl-main.649
- Cite (ACL):
- Valentin Hofmann, Janet Pierrehumbert, and Hinrich Schütze. 2020. Predicting the Growth of Morphological Families from Social and Linguistic Factors. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7273–7283, Online. Association for Computational Linguistics.
- Cite (Informal):
- Predicting the Growth of Morphological Families from Social and Linguistic Factors (Hofmann et al., ACL 2020)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2020.acl-main.649.pdf