%0 Conference Paper %1 kaiser-etal-2021-effects %A Kaiser, Jens %A Kurtyigit, Sinan %A Kotchourko, Serge %A Schlechtweg, Dominik %B Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume %C Online %D 2021 %I Association for Computational Linguistics %K myown %P 125--137 %R 10.18653/v1/2021.eacl-main.10 %T Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection %U https://aclanthology.org/2021.eacl-main.10 %X Lexical semantic change detection is a new and innovative research field. The optimal fine-tuning of models including pre- and post-processing is largely unclear. We optimize existing models by (i) pre-training on large corpora and refining on diachronic target corpora tackling the notorious small data problem, and (ii) applying post-processing transformations that have been shown to improve performance on synchronic tasks. Our results provide a guide for the application and optimization of lexical semantic change detection models across various learning scenarios.

@inproceedings{kaiser-etal-2021-effects, abstract = {Lexical semantic change detection is a new and innovative research field. The optimal fine-tuning of models including pre- and post-processing is largely unclear. We optimize existing models by (i) pre-training on large corpora and refining on diachronic target corpora tackling the notorious small data problem, and (ii) applying post-processing transformations that have been shown to improve performance on synchronic tasks. Our results provide a guide for the application and optimization of lexical semantic change detection models across various learning scenarios.}, added-at = {2022-10-11T18:37:05.000+0200}, address = {Online}, author = {Kaiser, Jens and Kurtyigit, Sinan and Kotchourko, Serge and Schlechtweg, Dominik}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2373677bd705e71f035c0babda6c666c0/dschlechtweg}, booktitle = {Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume}, doi = {10.18653/v1/2021.eacl-main.10}, interhash = {58758a6b1b8998d06dc0099059f61577}, intrahash = {373677bd705e71f035c0babda6c666c0}, keywords = {myown}, month = apr, pages = {125--137}, publisher = {Association for Computational Linguistics}, timestamp = {2022-10-11T16:37:05.000+0200}, title = {Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection}, url = {https://aclanthology.org/2021.eacl-main.10}, year = 2021 }