@inproceedings{hofmann-etal-2020-predicting,
title = "Predicting the Growth of Morphological Families from Social and Linguistic Factors",
author = {Hofmann, Valentin and
Pierrehumbert, Janet and
Sch{\"u}tze, Hinrich},
editor = "Jurafsky, Dan and
Chai, Joyce and
Schluter, Natalie and
Tetreault, Joel",
booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
month = jul,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.acl-main.649/",
doi = "10.18653/v1/2020.acl-main.649",
pages = "7273--7283",
abstract = "We present the first study that examines the evolution of morphological families, i.e., sets of morphologically related words such as {\textquotedblleft}trump{\textquotedblright}, {\textquotedblleft}antitrumpism{\textquotedblright}, and {\textquotedblleft}detrumpify{\textquotedblright}, 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."
}
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<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.</abstract>
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%0 Conference Proceedings
%T Predicting the Growth of Morphological Families from Social and Linguistic Factors
%A Hofmann, Valentin
%A Pierrehumbert, Janet
%A Schütze, Hinrich
%Y Jurafsky, Dan
%Y Chai, Joyce
%Y Schluter, Natalie
%Y Tetreault, Joel
%S Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
%D 2020
%8 July
%I Association for Computational Linguistics
%C Online
%F hofmann-etal-2020-predicting
%X 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.
%R 10.18653/v1/2020.acl-main.649
%U https://aclanthology.org/2020.acl-main.649/
%U https://doi.org/10.18653/v1/2020.acl-main.649
%P 7273-7283
Markdown (Informal)
[Predicting the Growth of Morphological Families from Social and Linguistic Factors](https://aclanthology.org/2020.acl-main.649/) (Hofmann et al., ACL 2020)
ACL