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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 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; Rubinstein, Aynat; Sadde, Shoval; Tsarfaty, Reut. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.acl-long.77 Abstract: Modality is the linguistic ability to describe vents with added information such as how desirable, plausible, or feasible they are. Modality is important for many NLP downstream tasks such as the detection of hedging, uncertainty, speculation, and more. Previous studies that address modality detection in NLP often restrict modal expressions to a closed syntactic class, and the modal sense labels are vastly different across different studies, lacking an accepted standard. Furthermore, these senses are often analyzed independently of the events that they modify. This work builds on the theoretical foundations of the Georgetown Gradable Modal Expressions (GME) work by Rubinstein et al. (2013) to propose an event-based modality detection task where modal expressions can be words of any syntactic class and sense labels are drawn from a comprehensive taxonomy which harmonizes the modal concepts contributed by the different studies. We present ... URL: https://dx.doi.org/10.48448/hrdm-cb22 https://underline.io/lecture/25957-the-possible,-the-plausible,-and-the-desirable-event-based-modality-detection-for-language-processing BASE Hide 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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