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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 Page: 1 2 3 Hits 1 – 20 of 52 1 Neural Token Segmentation for High Token-Internal Complexity ... Brusilovsky, Idan; Tsarfaty, Reut. - : arXiv, 2022 BASE Show details 2 Morphological Reinflection with Multiple Arguments: An Extended Annotation schema and a Georgian Case Study ... Guriel, David; Goldman, Omer; Tsarfaty, Reut. - : arXiv, 2022 BASE Show details 3 Exploiting emojis for abusive language detection Wiegand, Michael [Verfasser]; Ruppenhofer, Josef [Verfasser]; Merlo, Paola [Herausgeber]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2021 DNB Subject Category Language Show details 4 Implicitly abusive comparisons – a new dataset and linguistic analysis Wiegand, Michael [Verfasser]; Geulig, Maja [Verfasser]; Ruppenhofer, Josef [Verfasser]. - Mannheim : Leibniz-Institut für Deutsche Sprache (IDS), Bibliothek, 2021 DNB Subject Category Language Show details 5 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 6 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 7 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 8 Minimal Supervision for Morphological Inflection ... Goldman, Omer; Tsarfaty, Reut. - : arXiv, 2021 Abstract: Neural models for the various flavours of morphological inflection tasks have proven to be extremely accurate given ample labeled data -- data that may be slow and costly to obtain. In this work we aim to overcome this annotation bottleneck by bootstrapping labeled data from a seed as little as {\em five} labeled paradigms, accompanied by a large bulk of unlabeled text. Our approach exploits different kinds of regularities in morphological systems in a two-phased setup, where word tagging based on {\em analogies} is followed by word pairing based on {\em distances}. We experiment with the Paradigm Cell Filling Problem over eight typologically different languages, and find that, in languages with relatively simple morphology, orthographic regularities on their own allow inflection models to achieve respectable accuracy. Combined orthographic and semantic regularities alleviate difficulties with particularly complex morpho-phonological systems. Our results suggest that hand-crafting many tagged examples might ... : EMNLP 2021 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2104.08512 https://dx.doi.org/10.48550/arxiv.2104.08512 BASE Hide details 9 Well-Defined Morphology is Sentence-Level Morphology ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Goldman, Omer; Tsarfaty, Reut. - : Underline Science Inc., 2021 BASE Show details 10 Applying the Transformer to Character-level Transduction Cotterell, Ryan; Hulden, Mans; Wu, Shijie In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021) BASE Show details 11 Telling BERT's Full Story: from Local Attention to Global Aggregation Brunner, Gino; Pascual, Damian; Wattenhofer, Roger In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021) BASE Show details 12 Disambiguatory Signals are Stronger in Word-initial Positions Pimentel, Tiago; Cotterell, Ryan; Roark, Brian In: Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume (2021) BASE Show details 13 Minimal Supervision for Morphological Inflection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Goldman, Omer; Tsarfaty, Reut. - : Underline Science Inc., 2021 BASE Show details 14 Asking It All: Generating Contextualized Questions for any Semantic Role ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Dagan, Ido; Goldberg, Yoav. - : Underline Science Inc., 2021 BASE Show details 15 The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing ... Pyatkin, Valentina; Sadde, Shoval; Rubinstein, Aynat. - : arXiv, 2021 BASE Show details 16 The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Portner, Paul; Pyatkin, Valentina. - : Underline Science Inc., 2021 BASE Show details 17 Formae reformandae: for a reorganisation of verb form annotation in Universal Dependencies illustrated by the specific case of Latin Cecchini, Flavio Massimiliano (orcid:0000-0001-9029-1822). - : Association for Computational Linguistics, 2021. : country:BGR, 2021. : place:Sofia, 2021 BASE Show details 18 RelWalk - A Latent Variable Model Approach to Knowledge Graph Embedding. Bollegala, Danushka; Kawarabayashi, Ken-ichi; Yoshida, Yuichi. - : Association for Computational Linguistics, 2021 BASE Show details 19 Dictionary-based Debiasing of Pre-trained Word Embeddings. Bollegala, Danushka; Kaneko, Masahiro. - : Association for Computational Linguistics, 2021 BASE Show details 20 Debiasing Pre-trained Contextualised Embeddings. Kaneko, Masahiro; Bollegala, Danushka. - : Association for Computational Linguistics, 2021 BASE Show details Page: 1 2 3

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