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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 7 of 7 1 A New Dataset and Efficient Baselines for Document-level Text Simplification in German ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Ebling, Sarah; Kew, Tannon. - : Underline Science Inc., 2021 BASE Show details 2 Benchmarking Automated Review Response Generation for the Hospitality Domain ... Kew, Tannon; Amsler, Michael; Ebling, Sarah. - : Association for Computational Linguistics, 2020 BASE Show details 3 ASR for Non-standardised Languages with Dialectal Variation: the case of Swiss German ... The 28th International Conference on Computational Linguistics 2020; Kew, Tannon; Nigmatulina, Iuliia. - : Underline Science Inc., 2020 BASE Show details 4 Benchmarking Automated Review Response Generation for the Hospitality Domain ... The 28th International Conference on Computational Linguistics 2020; Kew, Tannon. - : Underline Science Inc., 2020 BASE Show details 5 Benchmarking Automated Review Response Generation for the Hospitality Domain Kew, Tannon; Amsler, Michael; Ebling, Sarah In: Kew, Tannon; Amsler, Michael; Ebling, Sarah (2020). Benchmarking Automated Review Response Generation for the Hospitality Domain. In: Workshop on Natural Language Processing in E-Commerce, Barcelona, Spain, 12 December 2020. Association for Computational Linguistics, 43-52. (2020) BASE Show details 6 Modelling large parallel corpora. The Zurich Parallel Corpus Collection ... Graën, Johannes; Kew, Tannon; Shaitarova, Anastassia; Volk, Martin. - : Leibniz-Institut für Deutsche Sprache, 2019 Abstract: Text corpora come in many different shapes and sizes and carry heterogeneous annotations, depending on their purpose and design. The true benefit of corpora is rooted in their annotation and the method by which this data is encoded is an important factor in their interoperability. We have accumulated a large collection of multilingual and parallel corpora and encoded it in a unified format which is compatible with a broad range of NLP tools and corpus linguistic applications. In this paper, we present our corpus collection and describe a data model and the extensions to the popular CoNLL-U format that enable us to encode it. ... Keyword: 400 Sprache, Linguistik URL: https://ids-pub.bsz-bw.de/9020 https://dx.doi.org/10.14618/ids-pub-9020 BASE Hide details 7 Modelling Large Parallel Corpora: The Zurich Parallel Corpus Collection Graën, Johannes; Kew, Tannon; Shaitarova, Anastassia... In: Graën, Johannes; Kew, Tannon; Shaitarova, Anastassia; Volk, Martin (2019). Modelling Large Parallel Corpora: The Zurich Parallel Corpus Collection. In: Challenges in the Management of Large Corpora (CMLC-7), Cardiff, Wales, 22 July 2019 - 22 July 2019. (2019) BASE Show details

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