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14 results for “word usage graphs”
DWUG EN: Diachronic Word Usage Graphs for English
<p>This data collection contains diachronic Word Usage Graphs (WUGs) for English. Find a description of the data format, code to process the data and further datasets on the <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUGsite</a>.</p> <p>See previous versions for additional testsets.</p> <p>Please find more information on the provided data in the papers referenced below.</p> <h3>Reference</h3> <p>Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray. 2021. <a href="https://aclanthology.org/2021.emnlp-main.567/">DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages</a>. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.</p> <p>Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. <a href="https://aclanthology.org/2024.emnlp-main.796/">More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages</a>. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.</p>
DWUG DE: Diachronic Word Usage Graphs for German
<p>This data collection contains diachronic Word Usage Graphs (WUGs) for German. Find a description of the data format, code to process the data and further datasets on the <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUGsite</a>.</p> <p>See previous versions for additional testsets. Find a version of this dataset annotated with classical word sense definitions at <a href="https://zenodo.org/doi/10.5281/zenodo.8197552">DWUG DE Sense</a>.</p> <p>Please find more information on the provided data in the papers referenced below.</p> <h3>Reference</h3> <p>Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray. 2021. <a href="https://aclanthology.org/2021.emnlp-main.567/">DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages</a>. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.</p> <p>Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. <a href="https://aclanthology.org/2024.emnlp-main.796/">More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages</a>. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.</p>
DWUG SV: Diachronic Word Usage Graphs for Swedish
<p>This data collection contains diachronic Word Usage Graphs (WUGs) for Swedish. Find a description of the data format, code to process the data and further datasets on the <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUGsite</a>.</p> <p>See previous versions for additional testsets.</p> <p>Please find more information on the provided data in the papers referenced below.</p> <h3>Reference</h3> <p>Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray. 2021. <a href="https://aclanthology.org/2021.emnlp-main.567/">DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages</a>. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.</p> <p>Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.</p>
DWUG LA: Diachronic Word Usage Graphs for Latin
<p>This data collection contains diachronic Word Usage Graphs (WUGs) for Latin. Find a description of the data format, code to process the data and further datasets on the <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUGsite</a>.</p> <p>The annotation was coordinated by Barbara McGillivray, and done by Annie Burman, Daria Kondakova, Francesca Dell'Oro, Helena Bermudez Sabel, Hugo Burgess, Paola Marongiu, Rozalia Dobos and Tomaz Potocnik. The pre-annotation was coordinated and designed by Barbara McGillivray and done by Manuel Márquez Cruz.</p> <p>Please find more information on the provided data in the paper referenced below.</p>
DiaWUG: Diatopic Word Usage Graphs for Spanish
<p>This data collection contains diatopic Word Usage Graphs (WUGs) for Spanish. Find a description of the data format, code to process the data and further datasets on the <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUGsite</a>.</p> <p>Note:</p> <ul> <li>The date given for each word use does not correspond to the exact date of the document from which the use was sampled but only to the midpoint of the rough time period covered by the Corpus del Español (~2000-2014).</li> <li>The numbers given as grouping for each word use map to Spanish variants in the following way: 0: Spain (ES), 1: Cuba (CU), 2: Colombia (CO), 3: Argentina (AR), 4: Peru (PE), 6: Venezuela (VE).</li> </ul> <p>Please find more information on the provided data in the paper referenced below.</p> <p>Version: 1.1.2, 11.1.2025. Update description. Update Reference. Normalize filenames. Assign noise uses the cluster label '-1' instead of removing them. Update plots. Additional removal of wrongly copied graphs.</p> <h3>Reference</h3> <p>Gioia Baldissin, Dominik Schlechtweg, Sabine Schulte im Walde. 2022. <a href="https://aclanthology.org/2022.lrec-1.278/">DiaWUG: A Dataset for Diatopic Lexical Semantic Variation in Spanish</a>. Proceedings of the Thirteenth Language Resources and Evaluation Conference.</p>
DWUG ES: Diachronic Word Usage Graphs for Spanish
<p>This data collection contains diachronic Word Usage Graphs (WUGs) for Spanish. Find a description of the data format, code to process the data and further datasets on the <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUGsite</a>.</p> <p>Please find more information on the provided data in the papers referenced below.</p> <p>The annotation was funded by</p> <ul> <li>ANID FONDECYT grant 11200290, U-Inicia VID Project UI-004/20,</li> <li>ANID - Millennium Science Initiative Program - Code ICN17 002 and</li> <li>SemRel Group (DFG Grants SCHU 2580/1 and SCHU 2580/2).</li> </ul> <p>Version: 4.0.2, 7.1.2025. <strong>Full data</strong>. Quoting issues in uses resolved. Target word and target sentence indices corrected. One corrected context for word 'metro'. Judgments anonymized. Annotator 'gecsa' removed. Issues with special characters in filenames resolved. Additional removal of wrongly copied graphs.</p> <h3>Reference</h3> <p>Frank D. Zamora-Reina, Felipe Bravo-Marquez, Dominik Schlechtweg. 2022. <a href="https://aclanthology.org/2022.lchange-1.16/">LSCDiscovery: A shared task on semantic change discovery and detection in Spanish</a>. In Proceedings of the 3rd International Workshop on Computational Approaches to Historical Language Change. Association for Computational Linguistics.</p> <p>Dominik Schlechtweg, Tejaswi Choppa, Wei Zhao, Michael Roth. 2025. <a href="https://aclanthology.org/2025.comedi-1.4/">The CoMeDi Shared Task: Median Judgment Classification & Mean Disagreement Ranking with Ordinal Word-in-Context Judgments</a>. In Proceedings of the 1st Workshop on Context and Meaning--Navigating Disagreements in NLP Annotations.</p>
RefWUG: Diachronic Reference Word Usage Graphs for German
<p>This data collection contains diachronic Word Usage Graphs (WUGs) for German created with reference use sampling. Find a description of the data format, code to process the data and further datasets on the <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUGsite</a>.</p> <p>Please find more information on the provided data in the paper referenced below.</p> <p>Version: 1.1.0, 15.12.2021.</p> <p><strong>Reference</strong></p> <p>Dominik Schlechtweg and Sabine Schulte im Walde. submitted. Clustering Word Usage Graphs: A Flexible Framework to Measure Changes in Contextual Word Meaning.</p>
DWUG DE Resampled: Diachronic Word Usage Graphs for German
<p>This data collection contains diachronic Word Usage Graphs (WUGs) for German. Uses were sampled for the target words from the <a href="https://zenodo.org/doi/10.5281/zenodo.5543723">DWUG DE</a> dataset and from the same source corpora. DWUG DE Resampled can thus be seen as a small-scale replication of DWUG DE. Find a description of the data format, code to process the data and further datasets on the <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUGsite</a>.</p> <p>Please find more information on the provided data in the papers referenced below.</p> <h3>Reference</h3> <p>Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. <a href="https://aclanthology.org/2024.emnlp-main.796/">More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages</a>. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.</p> <p>Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray. 2021. <a href="https://aclanthology.org/2021.emnlp-main.567/">DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages</a>. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.</p>
DiscoWUG: Discovered Diachronic Word Usage Graphs for German
<p>This data collection contains discovered diachronic Word Usage Graphs (WUGs) for German. Find a description of the data format, code to process the data and further datasets on the <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUGsite</a>.</p> <p>Note:</p> <ul> <li>The date given for each word use does not correspond to the exact date of the document from which the use was sampled but only to the midpoint of the respective time period (1800-1899, 1946-1990), as the exact date was not available in the SemEval corpora.</li> </ul> <p>Please find more information on the provided data in the papers referenced below.</p> <h3>Reference</h3> <p>Sinan Kurtyigit, Maike Park, Dominik Schlechtweg, Jonas Kuhn, Sabine Schulte im Walde. 2021. <a href="https://aclanthology.org/2021.acl-long.543/">Lexical Semantic Change Discovery</a>. Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing.</p> <p>Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. <a href="https://aclanthology.org/2024.emnlp-main.796/">More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages</a>. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.</p>
DWUG EN Resampled: Diachronic Word Usage Graphs for English
<p>This data collection contains diachronic Word Usage Graphs (WUGs) for English. Uses were sampled for the target words from the <a href="https://zenodo.org/doi/10.5281/zenodo.5544443">DWUG EN</a> dataset and from the same source corpora. DWUG EN Resampled can thus be seen as a small-scale replication of DWUG EN. Find a description of the data format, code to process the data and further datasets on the <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUGsite</a>.</p> <p>Please find more information on the provided data in the papers referenced below.</p> <h3>Reference</h3> <p>Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. <a href="https://aclanthology.org/2024.emnlp-main.796/">More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages</a>. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.</p> <p>Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray. 2021. <a href="https://aclanthology.org/2021.emnlp-main.567/">DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages</a>. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.</p>
TestWUG EN: Test Word Usage Graphs for English
<p>This data collection contains test Word Usage Graphs (WUGs) for English. Find a description of the data format, code to process the data and further datasets on the <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUGsite</a>.</p> <p>The data is provided for testing purposes and thus contains specific data cases, which are sometimes artificially created, sometimes picked from existing data sets. The data contains the following cases:</p> <ul> <li><strong>afternoon_nn</strong>: sampled from DWUG EN 2.0.1. 200 uses partly annotated by multiple annotators with 427 judgments. Has clear cluster structure with only one cluster, no graded change, no binary change, and medium agreement of 0.62 Krippendorff's alpha.</li> <li><strong>arm</strong>: standard textbook example for semantic proximity (see reference below). Fully connected graph with six words uses, annotated by author.</li> <li><strong>plane_nn</strong>: sampled from DWUG EN 2.0.1. 200 uses partly annotated by multiple annotators with 1152 judgments. Has clear cluster structure, high graded change, binary change, and high agreement of 0.82 Krippendorff's alpha.</li> <li><strong>target</strong>: similar to <em>arm</em>, but with only three repeated sentences. Fully connected graph with 8 word uses, annotated by author. Same sentence (exactly same string) is annotated with 4, different string is annotated with 1.</li> </ul> <p>Please find more information in the paper referenced below.</p> <p>Version: 1.2.0, 30.06.2023. Remove instances files as these should be inferred from judgments when aggregating.</p> <p><strong>Reference</strong></p> <p>Dominik Schlechtweg. 2023. <a href="http://dx.doi.org/10.18419/opus-12833">Human and Computational Measurement of Lexical Semantic Change</a>. PhD thesis. University of Stuttgart.</p>
ChiWUG: Diachronic Word Usage Graphs for Chinese
<p>This data collection contains diachronic Word Usage Graphs (WUGs) for Chinese. Find a description of the data format, code to process the data and further datasets on the <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUGsite</a>.</p> <p>Please find more information on the provided data in the paper referenced below.</p> <p>Version: 1.0.0, 19.10.2023. Paper version.</p> <p><strong>Reference</strong></p> <p>Jing Chen, Emmanuele Chersoni, Dominik Schlechtweg, Jelena Prokic, Chu-Ren Huang. 2023. <a href="https://aclanthology.org/2023.lchange-1.10/">ChiWUG: A Graph-based Evaluation Dataset for Chinese Lexical Semantic Change Detection</a>. Proceedings of the 4th International Workshop on Computational Approaches to Historical Language Change 2023 (LChange'23).</p>
DWUG IT: Diachronic Word Usage Graphs for Italian
<p>This data collection contains diachronic Word Usage Graphs (WUGs) for Italian. Find a description of the data format, code to process the data and further datasets on the <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUGsite</a> and in the paper:<br><br></p> <div>P. Cassotti, P. Basile, and N. Tahmasebi, ‘DWUGs-IT: Extending and Standardizing Lexical Semantic Change Detection for Italian’, in <em>Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024), Pisa, Italy, December 4-6, 2024</em>, 2024, vol. 3878.<br><a href="https://ceur-ws.org/Vol-3878/22_main_long.pdf">https://ceur-ws.org/Vol-3878/22_main_long.pdf</a></div>
DWUG SV Resampled: Diachronic Word Usage Graphs for Swedish
<p>This data collection contains diachronic Word Usage Graphs (WUGs) for Swedish. Uses were sampled for the target words from the <a href="https://zenodo.org/doi/10.5281/zenodo.5090647">DWUG SV</a> dataset and from the same source corpora. DWUG SV Resampled can thus be seen as a small-scale replication of DWUG SV. Find a description of the data format, code to process the data and further datasets on the <a href="https://www.ims.uni-stuttgart.de/data/wugs">WUGsite</a>.</p> <p>Please find more information on the provided data in the papers referenced below.</p> <h3>Reference</h3> <p>Dominik Schlechtweg, Pierluigi Cassotti, Bill Noble, David Alfter, Sabine Schulte im Walde, Nina Tahmasebi. <a href="https://aclanthology.org/2024.emnlp-main.796/">More DWUGs: Extending and Evaluating Word Usage Graph Datasets in Multiple Languages</a>. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing.</p> <p>Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray. 2021. <a href="https://aclanthology.org/2021.emnlp-main.567/">DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages</a>. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.</p>
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