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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; Michael, Julian; Pyatkin, Valentina; Roit, Paul; Tsarfaty, Reut. - : Underline Science Inc., 2021 Abstract: Anthology paper link: https://aclanthology.org/2021.emnlp-main.108/ Abstract: Asking questions about a situation is an inherent step towards understanding it. To this end, we introduce the task of role question generation, which, given a predicate mention and a passage, requires producing a set of questions asking about all possible semantic roles of the predicate. We develop a two-stage model for this task, which first produces a context-independent question prototype for each role and then revises it to be contextually appropriate for the passage. Unlike most existing approaches to question generation, our approach does not require conditioning on existing answers in the text. Instead, we condition on the type of information to inquire about, regardless of whether the answer appears explicitly in the text, could be inferred from it, or should be sought elsewhere. Our evaluation demonstrates that we generate diverse and well-formed questions for a large, broad-coverage ontology of predicates and roles. ... Keyword: Language Models; Natural Language Processing; Semantic Evaluation; Sociolinguistics URL: https://dx.doi.org/10.48448/endb-5y94 https://underline.io/lecture/37784-asking-it-all-generating-contextualized-questions-for-any-semantic-role BASE Hide 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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