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Institute for Natural Language Processing
Institute
Team
Schlechtweg, Dominik

Dominik Schlechtweg

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

Contact

+49 711 685 81361
Email

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.

Publications

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
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@inproceedings{baldissin-etal-2022-diawug, abstract = {We provide a novel dataset {--} DiaWUG {--} with judgements on diatopic lexical semantic variation for six Spanish variants in Europe and Latin America. In contrast to most previous meaning-based resources and studies on semantic diatopic variation, we collect annotations on semantic relatedness for Spanish target words in their contexts from both a semasiological perspective (i.e., exploring the meanings of a word given its form, thus including polysemy) and an onomasiological perspective (i.e., exploring identical meanings of words with different forms, thus including synonymy). In addition, our novel dataset exploits and extends the existing framework DURel for annotating word senses in context (Erk et al., 2013; Schlechtweg et al., 2018) and the framework-embedded Word Usage Graphs (WUGs) {--} which up to now have mainly be used for semasiological tasks and resources {--} in order to distinguish, visualize and interpret lexical semantic variation of contextualized words in Spanish from these two perspectives, i.e., semasiological and onomasiological language variation.}, address = {Marseille, France}, author = {Baldissin, Gioia and Schlechtweg, Dominik and Schulte im Walde, Sabine}, booktitle = {Proceedings of the Thirteenth Language Resources and Evaluation Conference}, month = jun, pages = {2601--2609}, publisher = {European Language Resources Association}, title = {{D}ia{WUG}: A Dataset for Diatopic Lexical Semantic Variation in {S}panish}, url = {https://aclanthology.org/2022.lrec-1.278}, year = 2022 }
Link
https://aclanthology.org/2022.lrec-1.278
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.
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@inproceedings{d-zamora-reina-etal-2022-black, abstract = {We present the first shared task on semantic change discovery and detection in Spanish. We create the first dataset of Spanish words manually annotated by semantic change using the DURel framewok (Schlechtweg et al., 2018). The task is divided in two phases: 1) graded change discovery, and 2) binary change detection. In addition to introducing a new language for this task, the main novelty with respect to the previous tasks consists in predicting and evaluating changes for all vocabulary words in the corpus. Six teams participated in phase 1 and seven teams in phase 2 of the shared task, and the best system obtained a Spearman rank correlation of 0.735 for phase 1 and an F1 score of 0.735 for phase 2. We describe the systems developed by the competing teams, highlighting the techniques that were particularly useful.}, address = {Dublin, Ireland}, author = {Zamora-Reina, Frank D. and Bravo-Marquez, Felipe and Schlechtweg, Dominik}, booktitle = {Proceedings of the 3rd Workshop on Computational Approaches to Historical Language Change}, doi = {10.18653/v1/2022.lchange-1.16}, month = may, pages = {149--164}, publisher = {Association for Computational Linguistics}, title = {{LSCD}iscovery: A shared task on semantic change discovery and detection in {S}panish}, url = {https://aclanthology.org/2022.lchange-1.16}, year = 2022 }
Link
https://aclanthology.org/2022.lchange-1.16
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
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@incollection{hengchen2021challenges, address = {Berlin}, author = {Hengchen, Simon and Tahmasebi, Nina and Schlechtweg, Dominik and Dubossarsky, Haim}, booktitle = {Computational Approaches to Semantic Change}, chapter = 11, editor = {Tahmasebi, Nina and Borin, Lars and Jatowt, Adam and Xu, Yang and Hengchen, Simon}, publisher = {Language Science Press}, title = {{Challenges for Computational Lexical Semantic Change}}, url = {https://arxiv.org/abs/2101.07668v1}, volume = {Language Variation}, year = 2021 }
Link
https://arxiv.org/abs/2101.07668v1
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.
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@inproceedings{laicher-etal-2021-explaining, abstract = {Type- and token-based embedding architectures are still competing in lexical semantic change detection. The recent success of type-based models in SemEval-2020 Task 1 has raised the question why the success of token-based models on a variety of other NLP tasks does not translate to our field. We investigate the influence of a range of variables on clusterings of BERT vectors and show that its low performance is largely due to orthographic information on the target word, which is encoded even in the higher layers of BERT representations. By reducing the influence of orthography we considerably improve BERT{'}s performance.}, address = {Online}, author = {Laicher, Severin and Kurtyigit, Sinan and Schlechtweg, Dominik and Kuhn, Jonas and Schulte im Walde, Sabine}, booktitle = {Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop}, doi = {10.18653/v1/2021.eacl-srw.25}, month = apr, pages = {192--202}, publisher = {Association for Computational Linguistics}, title = {Explaining and Improving {BERT} Performance on Lexical Semantic Change Detection}, url = {https://aclanthology.org/2021.eacl-srw.25}, year = 2021 }
Link
https://aclanthology.org/2021.eacl-srw.25
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
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@inproceedings{frassinelli-etal-2021-regression, abstract = {Kiezdeutsch is a variety of German predominantly spoken by teenagers from multi-ethnic urban neighborhoods in casual conversations with their peers. In recent years, the popularity of Kiezdeutsch has increased among young people, independently of their socio-economic origin, and has spread in social media, too. While previous studies have extensively investigated this language variety from a linguistic and qualitative perspective, not much has been done from a quantitative point of view. We perform the first large-scale data-driven analysis of the lexical and morpho-syntactic properties of Kiezdeutsch in comparison with standard German. At the level of results, we confirm predictions of previous qualitative analyses and integrate them with further observations on specific linguistic phenomena such as slang and self-centered speaker attitude. At the methodological level, we provide logistic regression as a framework to perform bottom-up feature selection in order to quantify differences across language varieties.}, address = {Kiyv, Ukraine}, author = {Frassinelli, Diego and Lapesa, Gabriella and Alatrash, Reem and Schlechtweg, Dominik and Schulte im Walde, Sabine}, booktitle = {Proceedings of the Eighth Workshop on NLP for Similar Languages, Varieties and Dialects}, month = apr, pages = {21--27}, publisher = {Association for Computational Linguistics}, title = {Regression Analysis of Lexical and Morpho-Syntactic Properties of Kiezdeutsch}, url = {https://aclanthology.org/2021.vardial-1.3}, year = 2021 }
Link
https://aclanthology.org/2021.vardial-1.3
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.
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@inproceedings{bott-etal-2021-just, address = {Online}, author = {Bott, Thomas and Schlechtweg, Dominik and Schulte im Walde, Sabine}, booktitle = {Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021}, doi = {10.18653/v1/2021.findings-acl.16}, month = aug, pages = {186--192}, publisher = {Association for Computational Linguistics}, title = {More than just Frequency? Demasking Unsupervised Hypernymy Prediction Methods}, url = {https://aclanthology.org/2021.findings-acl.16}, year = 2021 }
Link
https://aclanthology.org/2021.findings-acl.16
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.
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@inproceedings{schlechtweg-etal-2021-dwug, abstract = {Word meaning is notoriously difficult to capture, both synchronically and diachronically. In this paper, we describe the creation of the largest resource of graded contextualized, diachronic word meaning annotation in four different languages, based on 100,000 human semantic proximity judgments. We describe in detail the multi-round incremental annotation process, the choice for a clustering algorithm to group usages into senses, and possible {--} diachronic and synchronic {--} uses for this dataset.}, address = {Online and Punta Cana, Dominican Republic}, author = {Schlechtweg, Dominik and Tahmasebi, Nina and Hengchen, Simon and Dubossarsky, Haim and McGillivray, Barbara}, booktitle = {Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing}, doi = {10.18653/v1/2021.emnlp-main.567}, month = nov, pages = {7079--7091}, publisher = {Association for Computational Linguistics}, title = {{DWUG}: A large Resource of Diachronic Word Usage Graphs in Four Languages}, url = {https://aclanthology.org/2021.emnlp-main.567}, year = 2021 }
Link
https://aclanthology.org/2021.emnlp-main.567
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.
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@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.}, address = {Online}, author = {Kaiser, Jens and Kurtyigit, Sinan and Kotchourko, Serge and Schlechtweg, Dominik}, 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}, month = apr, pages = {125--137}, publisher = {Association for Computational Linguistics}, 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 }
Link
https://aclanthology.org/2021.eacl-main.10
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.
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@inproceedings{schlechtweg-etal-2021-modeling, abstract = {We suggest to model human-annotated Word Usage Graphs capturing fine-grained semantic proximity distinctions between word uses with a Bayesian formulation of the Weighted Stochastic Block Model, a generative model for random graphs popular in biology, physics and social sciences. By providing a probabilistic model of graded word meaning we aim to approach the slippery and yet widely used notion of word sense in a novel way. The proposed framework enables us to rigorously compare models of word senses with respect to their fit to the data. We perform extensive experiments and select the empirically most adequate model.}, address = {Online}, author = {Schlechtweg, Dominik and Castaneda, Enrique and Kuhn, Jonas and Schulte im Walde, Sabine}, booktitle = {Proceedings of *SEM 2021: The Tenth Joint Conference on Lexical and Computational Semantics}, doi = {10.18653/v1/2021.starsem-1.23}, month = aug, pages = {241--251}, publisher = {Association for Computational Linguistics}, title = {Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model}, url = {https://aclanthology.org/2021.starsem-1.23}, year = 2021 }
Link
https://aclanthology.org/2021.starsem-1.23
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.
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@inproceedings{kurtyigit-etal-2021-lexical, abstract = {While there is a large amount of research in the field of Lexical Semantic Change Detection, only few approaches go beyond a standard benchmark evaluation of existing models. In this paper, we propose a shift of focus from change detection to change discovery, i.e., discovering novel word senses over time from the full corpus vocabulary. By heavily fine-tuning a type-based and a token-based approach on recently published German data, we demonstrate that both models can successfully be applied to discover new words undergoing meaning change. Furthermore, we provide an almost fully automated framework for both evaluation and discovery.}, address = {Online}, author = {Kurtyigit, Sinan and Park, Maike and Schlechtweg, Dominik and Kuhn, Jonas and Schulte im Walde, Sabine}, booktitle = {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)}, doi = {10.18653/v1/2021.acl-long.543}, month = aug, pages = {6985--6998}, publisher = {Association for Computational Linguistics}, title = {Lexical Semantic Change Discovery}, url = {https://aclanthology.org/2021.acl-long.543}, year = 2021 }
Link
https://aclanthology.org/2021.acl-long.543
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
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@inproceedings{kaiser-etal-2020-roots, address = {Online}, author = {Kaiser, Jens and Schlechtweg, Dominik and {Schulte im Walde}, Sabine}, booktitle = {{Proceedings of the 7th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020)}}, editor = {Basile, Valerio and Croce, Danilo and Di Maro, Maria and Passaro, Lucia C.}, publisher = {CEUR.org}, title = {{OP-IMS @ DIACR-Ita: Back to the Roots: SGNS+OP+CD still rocks Semantic Change Detection}}, url = {https://arxiv.org/abs/2011.03258}, year = 2020 }
Link
https://arxiv.org/abs/2011.03258
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.
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@inproceedings{laicher-etal-2020-volente, address = {Online}, author = {Laicher, Severin and Baldissin, Gioia and Castaneda, Enrique and Schlechtweg, Dominik and {Schulte im Walde}, Sabine}, booktitle = {{Proceedings of the 7th evaluation campaign of Natural Language Processing and Speech tools for Italian (EVALITA 2020)}}, editor = {Basile, Valerio and Croce, Danilo and Di Maro, Maria and Passaro, Lucia C.}, publisher = {CEUR.org}, title = {{CL-IMS @ DIACR-Ita: Volente o Nolente: BERT does not outperform SGNS on Semantic Change Detection}}, year = 2020 }
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
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@inproceedings{kaiser-etal-2020-IMS, address = {Barcelona, Spain}, author = {Kaiser, Jens and Schlechtweg, Dominik and Papay, Sean and Schulte {im Walde}, Sabine}, booktitle = {Proceedings of the 14th International Workshop on Semantic Evaluation}, publisher = {Association for Computational Linguistics}, title = {{IMS} at {S}em{E}val-2020 {T}ask 1: {How low can you go? Dimensionality in Lexical Semantic Change Detection}}, url = {https://arxiv.org/abs/2008.03164}, year = 2020 }
Link
https://arxiv.org/abs/2008.03164
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
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@inproceedings{schlechtweg2020semeval, address = {Barcelona, Spain}, author = {Schlechtweg, Dominik and McGillivray, Barbara and Hengchen, Simon and Dubossarsky, Haim and Tahmasebi, Nina}, booktitle = {Proceedings of the 14th International Workshop on Semantic Evaluation}, publisher = {Association for Computational Linguistics}, title = {{S}em{E}val-2020 {T}ask 1: {U}nsupervised {L}exical {S}emantic {C}hange {D}etection}, url = {https://arxiv.org/abs/2007.11464}, year = 2020 }
Link
https://arxiv.org/abs/2007.11464
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.
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@inproceedings{hatty-etal-2020-predicting, abstract = {While automatic term extraction is a well-researched area, computational approaches to distinguish between degrees of technicality are still understudied. We semi-automatically create a German gold standard of technicality across four domains, and illustrate the impact of a web-crawled general-language corpus on technicality prediction. When defining a classification approach that combines general-language and domain-specific word embeddings, we go beyond previous work and align vector spaces to gain comparative embeddings. We suggest two novel models to exploit general- vs. domain-specific comparisons: a simple neural network model with pre-computed comparative-embedding information as input, and a multi-channel model computing the comparison internally. Both models outperform previous approaches, with the multi-channel model performing best.}, address = {Online}, author = {H{\"a}tty, Anna and Schlechtweg, Dominik and Dorna, Michael and Schulte im Walde, Sabine}, booktitle = {Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics}, doi = {10.18653/v1/2020.acl-main.258}, month = jul, pages = {2883--2889}, publisher = {Association for Computational Linguistics}, title = {Predicting Degrees of Technicality in Automatic Terminology Extraction}, url = {https://www.aclweb.org/anthology/2020.acl-main.258}, year = 2020 }
Link
https://www.aclweb.org/anthology/2020.acl-main.258
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
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@inproceedings{alatrash-etal-2020-ccoha, abstract = {Modelling language change is an increasingly important area of interest within the fields of sociolinguistics and historical linguistics. In recent years, there has been a growing number of publications whose main concern is studying changes that have occurred within the past centuries. The Corpus of Historical American English (COHA) is one of the most commonly used large corpora in diachronic studies in English. This paper describes methods applied to the downloadable version of the COHA corpus in order to overcome its main limitations, such as inconsistent lemmas and malformed tokens, without compromising its qualitative and distributional properties. The resulting corpus CCOHA contains a larger number of cleaned word tokens which can offer better insights into language change and allow for a larger variety of tasks to be performed.}, address = {Marseille, France}, author = {Alatrash, Reem and Schlechtweg, Dominik and Kuhn, Jonas and Schulte im Walde, Sabine}, booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference}, isbn = {979-10-95546-34-4}, language = {English}, month = may, pages = {6958--6966}, publisher = {European Language Resources Association}, title = {{CCOHA}: Clean Corpus of Historical {A}merican {E}nglish}, url = {https://www.aclweb.org/anthology/2020.lrec-1.859}, year = 2020 }
Link
https://www.aclweb.org/anthology/2020.lrec-1.859
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.
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@inproceedings{SchlechtwegWalde20, author = {Schlechtweg, Dominik and Schulte im Walde, Sabine}, booktitle = {The Evolution of Language: Proceedings of the 13th International Conference (EvoLang13)}, doi = {10.17617/2.3190925}, editor = {Ravignani, A. and Barbieri, C. and Martins, M. and Flaherty, M. and Jadoul, Y. and Lattenkamp, E. and Little, H. and Mudd, K. and Verhoef, T.}, title = {Simulating Lexical Semantic Change from Sense-Annotated Data}, url = {http://brussels.evolang.org/proceedings/paper.html?nr=9}, year = 2020 }
Link
http://brussels.evolang.org/proceedings/paper.html?nr=9
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
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@article{DBLP:journals/corr/abs-2001-07786, archiveprefix = {arXiv}, author = {Ahmad, Adnan and Desta, Kiflom and Lang, Fabian and Schlechtweg, Dominik}, bibsource = {dblp computer science bibliography, https://dblp.org}, eprint = {2001.07786}, journal = {CoRR}, title = {Shared Task: Lexical Semantic Change Detection in German}, url = {https://arxiv.org/abs/2001.07786}, volume = {abs/2001.07786}, year = 2020 }
Link
https://arxiv.org/abs/2001.07786
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.
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@inproceedings{schlechtweg-etal-2019-second, abstract = {We simulate first- and second-order context overlap and show that Skip-Gram with Negative Sampling is similar to Singular Value Decomposition in capturing second-order co-occurrence information, while Pointwise Mutual Information is agnostic to it. We support the results with an empirical study finding that the models react differently when provided with additional second-order information. Our findings reveal a basic property of Skip-Gram with Negative Sampling and point towards an explanation of its success on a variety of tasks.}, address = {Florence, Italy}, author = {Schlechtweg, Dominik and Oguz, Cennet and Schulte im Walde, Sabine}, booktitle = {Proceedings of the 2019 ACL Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP}, doi = {10.18653/v1/W19-4803}, month = aug, pages = {24--30}, publisher = {Association for Computational Linguistics}, title = {Second-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling}, url = {https://www.aclweb.org/anthology/W19-4803}, year = 2019 }
Link
https://www.aclweb.org/anthology/W19-4803
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/
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@inproceedings{conf/acl/DubossarskyHTS19, author = {Dubossarsky, Haim and Hengchen, Simon and Tahmasebi, Nina and Schlechtweg, Dominik}, booktitle = {ACL (1)}, crossref = {conf/acl/2019-1}, editor = {Korhonen, Anna and Traum, David R. and Màrquez, Lluís}, ee = {https://www.aclweb.org/anthology/P19-1044/}, isbn = {978-1-950737-48-2}, pages = {457-470}, publisher = {Association for Computational Linguistics}, title = {Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change.}, url = {https://www.aclweb.org/anthology/P19-1044/}, year = 2019 }
Link
https://www.aclweb.org/anthology/P19-1044/
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/
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@inproceedings{conf/starsem/HattySW19, author = {Hätty, Anna and Schlechtweg, Dominik and Schulte im Walde, Sabine}, booktitle = {*SEM@NAACL-HLT}, crossref = {conf/starsem/2019}, editor = {Mihalcea, Rada and Shutova, Ekaterina and Ku, Lun-Wei and Evang, Kilian and Poria, Soujanya}, ee = {https://www.aclweb.org/anthology/S19-1001/}, isbn = {978-1-948087-93-3}, pages = {1-8}, publisher = {Association for Computational Linguistics}, title = {SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction.}, url = {https://www.aclweb.org/anthology/S19-1001/}, year = 2019 }
Link
https://www.aclweb.org/anthology/S19-1001/
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/
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BibTeX
@inproceedings{conf/acl/SchlechtwegHTW19, author = {Schlechtweg, Dominik and Hätty, Anna and Del Tredici, Marco and Schulte im Walde, Sabine}, booktitle = {ACL (1)}, crossref = {conf/acl/2019-1}, editor = {Korhonen, Anna and Traum, David R. and Màrquez, Lluís}, ee = {https://www.aclweb.org/anthology/P19-1072/}, isbn = {978-1-950737-48-2}, pages = {732-746}, publisher = {Association for Computational Linguistics}, title = {A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains.}, url = {https://www.aclweb.org/anthology/P19-1072/}, year = 2019 }
Link
https://www.aclweb.org/anthology/P19-1072/
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
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BibTeX
@inproceedings{SchlechtwegWalde18, author = {Schlechtweg, Dominik and Schulte im Walde, Sabine}, booktitle = {The Evolution of Language: Proceedings of the 12th International Conference (EVOLANGXII)}, editor = {Cuskley, C. and Flaherty, M. and Little, H. and McCrohon, Luke and Ravignani, A. and Verhoef, T.}, publisher = {Online at http://evolang.org/torun/proceedings/papertemplate.html?p=169}, title = {Distribution-based prediction of the degree of grammaticalization for German prepositions}, url = {https://evolang.org/torun/proceedings/papertemplate.html?p=169}, year = 2018 }
Link
https://evolang.org/torun/proceedings/papertemplate.html?p=169
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/
- BibTeX
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BibTeX
@inproceedings{conf/naacl/SchlechtwegWE18, author = {Schlechtweg, Dominik and Schulte im Walde, Sabine and Eckmann, Stefanie}, booktitle = {NAACL-HLT (2)}, crossref = {conf/naacl/2018-2}, editor = {Walker, Marilyn A. and Ji, Heng and Stent, Amanda}, ee = {https://www.aclweb.org/anthology/N18-2027/}, isbn = {978-1-948087-29-2}, pages = {169-174}, publisher = {Association for Computational Linguistics}, title = {Diachronic Usage Relatedness (DURel): A Framework for the Annotation of Lexical Semantic Change.}, url = {https://www.aclweb.org/anthology/N18-2027/}, year = 2018 }
Link
https://www.aclweb.org/anthology/N18-2027/
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/
- BibTeX
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BibTeX
@inproceedings{conf/conll/SchlechtwegESWH17, author = {Schlechtweg, Dominik and Eckmann, Stefanie and Santus, Enrico and Schulte im Walde, Sabine and Hole, Daniel}, booktitle = {CoNLL}, crossref = {conf/conll/2017}, editor = {Levy, Roger and Specia, Lucia}, ee = {https://doi.org/10.18653/v1/K17-1036}, isbn = {978-1-945626-54-8}, pages = {354-367}, publisher = {Association for Computational Linguistics}, title = {German in Flux: Detecting Metaphoric Change via Word Entropy.}, url = {https://www.aclweb.org/anthology/K17-1036/}, year = 2017 }
Link
https://www.aclweb.org/anthology/K17-1036/
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/
- BibTeX
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BibTeX
@inproceedings{conf/eacl/SantusSS17, author = {Shwartz, Vered and Santus, Enrico and Schlechtweg, Dominik}, booktitle = {EACL (1)}, crossref = {conf/eacl/2017-1}, editor = {Lapata, Mirella and Blunsom, Phil and Koller, Alexander}, ee = {https://www.aclweb.org/anthology/E17-1007/}, isbn = {978-1-945626-34-0}, pages = {65-75}, publisher = {Association for Computational Linguistics}, title = {Hypernyms under Siege: Linguistically-motivated Artillery for Hypernymy Detection.}, url = {https://www.aclweb.org/anthology/E17-1007/}, year = 2017 }
Link
https://www.aclweb.org/anthology/E17-1007/
D. Schlechtweg, “Exploitation of Co-reference in Distributional Semantics.,” in LREC, 2016. [Online]. Available: http://www.lrec-conf.org/proceedings/lrec2016/summaries/195.html
- BibTeX
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BibTeX
@inproceedings{conf/lrec/Schlechtweg16, author = {Schlechtweg, Dominik}, booktitle = {LREC}, crossref = {conf/lrec/2016}, editor = {Calzolari, Nicoletta and Choukri, Khalid and Declerck, Thierry and Goggi, Sara and Grobelnik, Marko and Maegaard, Bente and Mariani, Joseph and Mazo, Hélène and Moreno, Asunción and Odijk, Jan and Piperidis, Stelios}, ee = {http://www.lrec-conf.org/proceedings/lrec2016/summaries/195.html}, publisher = {European Language Resources Association (ELRA)}, title = {Exploitation of Co-reference in Distributional Semantics.}, url = {http://www.lrec-conf.org/proceedings/lrec2016/summaries/195.html}, year = 2016 }
Link
http://www.lrec-conf.org/proceedings/lrec2016/summaries/195.html

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