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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 – 15 of 15 1 How Universal is Genre in Universal Dependencies? ... Müller-Eberstein, Max; van der Goot, Rob; Plank, Barbara. - : arXiv, 2021 BASE Show details 2 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 3 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 4 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 5 Parsing with Pretrained Language Models, Multiple Datasets, and Dataset Embeddings ... van der Goot, Rob; de Lhoneux, Miryam. - : arXiv, 2021 BASE Show details 6 On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions ... van der Goot, Rob; Üstün, Ahmet; Plank, Barbara. - : arXiv, 2021 BASE Show details 7 Genre as Weak Supervision for Cross-lingual Dependency Parsing ... Müller-Eberstein, Max; van der Goot, Rob; Plank, Barbara. - : arXiv, 2021 BASE Show details 8 We Need to Talk About train-dev-test Splits ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; van der Goot, Rob. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.368/ Abstract: Standard train-dev-test splits used to benchmark multiple models against each other are ubiquitously used in Natural Language Processing (NLP). In this setup, the train data is used for training the model, the development set for evaluating different versions of the proposed model(s) during development, and the test set to confirm the answers to the main research question(s). However, the introduction of neural networks in NLP has led to a different use of these standard splits; the development set is now often used for model selection during the training procedure. Because of this, comparing multiple versions of the same model during development leads to overestimation on the development data. As an effect, people have started to compare an increasing amount of models on the test data, leading to faster overfitting and ``expiration'' of our test sets. We propose to use a tune-set when developing neural network methods, which can ... Keyword: Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing URL: https://underline.io/lecture/37384-we-need-to-talk-about-train-dev-test-splits https://dx.doi.org/10.48448/x2hz-kd89 BASE Hide details 9 Genre as Weak Supervision for Cross-lingual Dependency Parsing ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Müller-Eberstein, Max; Plank, Barbara. - : Underline Science Inc., 2021 BASE Show details 10 DaN+: Danish Nested Named Entities and Lexical Normalization ... Plank, Barbara; Jensen, Kristian Nørgaard; van der Goot, Rob. - : arXiv, 2021 BASE Show details 11 From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding ... van der Goot, Rob; Sharaf, Ibrahim; Imankulova, Aizhan. - : arXiv, 2021 BASE Show details 12 From Masked-Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding ... NAACL 2021 2021; van der Goot, Rob. - : Underline Science Inc., 2021 BASE Show details 13 Lexical Normalization for Code-switched Data and its Effect on POS-tagging ... van der Goot, Rob; Çetinoğlu, Özlem. - : arXiv, 2020 BASE Show details 14 Fair Is Better than Sensational: Man Is to Doctor as Woman Is to Doctor Nissim, Malvina; van Noord, Rik; van der Goot, Rob In: Computational Linguistics, Vol 46, Iss 2, Pp 487-497 (2020) (2020) BASE Show details 15 Bleaching Text: Abstract Features for Cross-lingual Gender Prediction ... van der Goot, Rob; Ljubešić, Nikola; Matroos, Ian. - : arXiv, 2018 BASE Show details

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