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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 Abstract: Tokenizing raw texts into word units is an essential pre-processing step for critical tasks in the NLP pipeline such as tagging, parsing, named entity recognition, and more. For most languages, this tokenization step straightforward. However, for languages with high token-internal complexity, further token-to-word segmentation is required. Previous canonical segmentation studies were based on character-level frameworks, with no contextualised representation involved. Contextualized vectors a la BERT show remarkable results in many applications, but were not shown to improve performance on linguistic segmentation per se. Here we propose a novel neural segmentation model which combines the best of both worlds, contextualised token representation and char-level decoding, which is particularly effective for languages with high token-internal complexity and extreme morphological ambiguity. Our model shows substantial improvements in segmentation accuracy on Hebrew and Arabic compared to the state-of-the-art, and ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2203.10845 https://dx.doi.org/10.48550/arxiv.2203.10845 BASE Hide 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 BASE Show 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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