This image shows Dominik Schlechtweg

Dominik Schlechtweg

Employee
Institute for Natural Language Processing (IMS)
Foundations of Computational Linguistics

Contact

Pfaffenwaldring 5 b
70569 Stuttgart
Deutschland
Room: 01.005

Office Hours

Upon email request.

Subject

I did my PhD at the IMS (University of Stuttgart) working together with Sabine Schulte im Walde on automatic detection of lexical semantic change. I held a PhD scholarship from Konrad Adenauer Foundation. After my PhD I did a research internship with Katrin Erk at the University of Texas, Austin. Since February 2022 I am a post-doctoral researcher at the IMS (University of Stuttgart) working in the 6-year research program Change is Key!.

Find more information on my website.

  1. G. Baldissin, D. Schlechtweg, and S. Schulte im Walde, “DiaWUG: A Dataset for Diatopic Lexical Semantic Variation in Spanish,” in Proceedings of the Thirteenth Language Resources and Evaluation Conference, Marseille, France, 2022, pp. 2601--2609. [Online]. Available: https://aclanthology.org/2022.lrec-1.278
  2. F. D. Zamora-Reina, F. Bravo-Marquez, and D. Schlechtweg, “LSCDiscovery: A shared task on semantic change discovery and detection in Spanish,” in Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change, Dublin, Ireland, 2022, pp. 149--164. doi: 10.18653/v1/2022.lchange-1.16.
  3. S. Hengchen, N. Tahmasebi, D. Schlechtweg, and H. Dubossarsky, “Challenges for Computational Lexical Semantic Change,” in Computational Approaches to Semantic Change, vol. Language Variation, N. Tahmasebi, L. Borin, A. Jatowt, Y. Xu, and S. Hengchen, Eds. Berlin: Language Science Press, 2021. [Online]. Available: https://arxiv.org/abs/2101.07668v1
  4. S. Laicher, S. Kurtyigit, D. Schlechtweg, J. Kuhn, and S. Schulte im Walde, “Explaining and Improving BERT Performance on Lexical Semantic Change Detection,” in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, Online, 2021, pp. 192--202. doi: 10.18653/v1/2021.eacl-srw.25.
  5. D. Frassinelli, G. Lapesa, R. Alatrash, D. Schlechtweg, and S. Schulte im Walde, “Regression Analysis of Lexical and Morpho-Syntactic Properties of Kiezdeutsch,” in Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects, Kiyv, Ukraine, 2021, pp. 21--27. [Online]. Available: https://aclanthology.org/2021.vardial-1.3
  6. T. Bott, D. Schlechtweg, and S. Schulte im Walde, “More than just Frequency? Demasking Unsupervised Hypernymy Prediction Methods,” in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, Online, 2021, pp. 186--192. doi: 10.18653/v1/2021.findings-acl.16.
  7. D. Schlechtweg, N. Tahmasebi, S. Hengchen, H. Dubossarsky, and B. McGillivray, “DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages,” in Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, Online and Punta Cana, Dominican Republic, 2021, pp. 7079--7091. doi: 10.18653/v1/2021.emnlp-main.567.
  8. J. Kaiser, S. Kurtyigit, S. Kotchourko, and D. Schlechtweg, “Effects of Pre- and Post-Processing on type-based Embeddings in Lexical Semantic Change Detection,” in Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, Online, 2021, pp. 125--137. doi: 10.18653/v1/2021.eacl-main.10.
  9. D. Schlechtweg, E. Castaneda, J. Kuhn, and S. Schulte im Walde, “Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model,” in Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics, Online, 2021, pp. 241--251. doi: 10.18653/v1/2021.starsem-1.23.
  10. S. Kurtyigit, M. Park, D. Schlechtweg, J. Kuhn, and S. Schulte im Walde, “Lexical Semantic Change Discovery,” in Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), Online, 2021, pp. 6985--6998. doi: 10.18653/v1/2021.acl-long.543.
  11. J. Kaiser, D. Schlechtweg, and S. Schulte im Walde, “OP-IMS @ DIACR-Ita: Back to the Roots: SGNS+OP+CD still rocks Semantic Change Detection,” in Proceedings of the 7th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020), Online, 2020. [Online]. Available: https://arxiv.org/abs/2011.03258
  12. S. Laicher, G. Baldissin, E. Castaneda, D. Schlechtweg, and S. Schulte im Walde, “CL-IMS @ DIACR-Ita: Volente o Nolente: BERT does not outperform SGNS on Semantic Change Detection,” in Proceedings of the 7th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020), Online, 2020.
  13. J. Kaiser, D. Schlechtweg, S. Papay, and S. Schulte im Walde, “IMS at SemEval-2020 Task 1: How low can you go? Dimensionality in Lexical Semantic Change Detection,” Barcelona, Spain, 2020. [Online]. Available: https://arxiv.org/abs/2008.03164
  14. D. Schlechtweg, B. McGillivray, S. Hengchen, H. Dubossarsky, and N. Tahmasebi, “SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection,” Barcelona, Spain, 2020. [Online]. Available: https://arxiv.org/abs/2007.11464
  15. A. Hätty, D. Schlechtweg, M. Dorna, and S. Schulte im Walde, “Predicting Degrees of Technicality in Automatic Terminology Extraction,” in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, Online, 2020, pp. 2883--2889. doi: 10.18653/v1/2020.acl-main.258.
  16. R. Alatrash, D. Schlechtweg, J. Kuhn, and S. Schulte im Walde, “CCOHA: Clean Corpus of Historical American English,” in Proceedings of The 12th Language Resources and Evaluation Conference, Marseille, France, 2020, pp. 6958--6966. [Online]. Available: https://www.aclweb.org/anthology/2020.lrec-1.859
  17. D. Schlechtweg and S. Schulte im Walde, “Simulating Lexical Semantic Change from Sense-Annotated Data,” in The Evolution of Language: Proceedings of the 13th International Conference (EvoLang13), 2020. doi: 10.17617/2.3190925.
  18. A. Ahmad, K. Desta, F. Lang, and D. Schlechtweg, “Shared Task: Lexical Semantic Change Detection in German,” CoRR, vol. abs/2001.07786, 2020, [Online]. Available: https://arxiv.org/abs/2001.07786
  19. D. Schlechtweg, C. Oguz, and S. Schulte im Walde, “Second-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling,” in Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, Florence, Italy, 2019, pp. 24--30. doi: 10.18653/v1/W19-4803.
  20. H. Dubossarsky, S. Hengchen, N. Tahmasebi, and D. Schlechtweg, “Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change.,” in ACL (1), 2019, pp. 457–470. [Online]. Available: https://www.aclweb.org/anthology/P19-1044/
  21. A. Hätty, D. Schlechtweg, and S. Schulte im Walde, “SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction.,” in *SEM@NAACL-HLT, 2019, pp. 1–8. [Online]. Available: https://www.aclweb.org/anthology/S19-1001/
  22. D. Schlechtweg, A. Hätty, M. Del Tredici, and S. Schulte im Walde, “A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains.,” in ACL (1), 2019, pp. 732–746. [Online]. Available: https://www.aclweb.org/anthology/P19-1072/
  23. D. Schlechtweg and S. Schulte im Walde, “Distribution-based prediction of the degree of grammaticalization for German prepositions,” in The Evolution of Language: Proceedings of the 12th International Conference (EVOLANGXII), 2018. [Online]. Available: https://evolang.org/torun/proceedings/papertemplate.html?p=169
  24. D. Schlechtweg, S. Schulte im Walde, and S. Eckmann, “Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change.,” in NAACL-HLT (2), 2018, pp. 169–174. [Online]. Available: https://www.aclweb.org/anthology/N18-2027/
  25. D. Schlechtweg, S. Eckmann, E. Santus, S. Schulte im Walde, and D. Hole, “German in Flux: Detecting Metaphoric Change via Word Entropy.,” in CoNLL, 2017, pp. 354–367. [Online]. Available: https://www.aclweb.org/anthology/K17-1036/
  26. V. Shwartz, E. Santus, and D. Schlechtweg, “Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection.,” in EACL (1), 2017, pp. 65–75. [Online]. Available: https://www.aclweb.org/anthology/E17-1007/
  27. D. Schlechtweg, “Exploitation of Co-reference in Distributional Semantics.,” in LREC, 2016. [Online]. Available: http://www.lrec-conf.org/proceedings/lrec2016/summaries/195.html
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