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1
One model for the learning of language.
In: Proceedings of the National Academy of Sciences of the United States of America, vol 119, iss 5 (2022)
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2
Computational Measures of Deceptive Language: Prospects and Issues
In: ISSN: 2297-900X ; EISSN: 2297-900X ; Frontiers in Communication ; https://hal.archives-ouvertes.fr/hal-03629780 ; Frontiers in Communication, Frontiers, 2022, 7, pp.792378. ⟨10.3389/fcomm.2022.792378⟩ (2022)
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3
Animal linguistics in the making: the Urgency Principle and titi monkeys’ alarm system
In: ISSN: 0394-9370 ; Ethology Ecology and Evolution ; https://hal.inrae.fr/hal-03518874 ; Ethology Ecology and Evolution, Taylor & Francis, 2022, pp.1-17. ⟨10.1080/03949370.2021.2015452⟩ (2022)
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4
A Dataset for Toponym Resolution in Nineteenth-Century English Newspapers
In: Journal of Open Humanities Data; Vol 8 (2022); 3 ; 2059-481X (2022)
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5
German Climate Change Tweet Corpus (GerCCT) ...
Schaefer, Robin; Stede, Manfred. - : Zenodo, 2022
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6
German Climate Change Tweet Corpus (GerCCT) ...
Schaefer, Robin; Stede, Manfred. - : Zenodo, 2022
Abstract: First release of the GerCCT Corpus, a German tweet resource annotated for argument components, argument properties, sarcasm and toxic language. The corpus consists of 1,200 tweets and its annotations. Each tweet is associated with its respective source tweet, i.e. the tweet it replies to. Source tweets were used to provide annotators with additional context. The annotations refer to the reply tweet, i.e. NOT to the source tweet. For copyright reasons we cannot distribute the actual tweet content. Instead we share the source and reply tweet IDs and the annotations. The current version includes class annotations on the document level, i.e. on the tweet level. We are working on creating the respective span annotations. ...
Keyword: argument mining; computational linguistics; German; Twitter
URL: https://zenodo.org/record/6479492
https://dx.doi.org/10.5281/zenodo.6479492
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7
Using Machine Learning for Pharmacovigilance: A Systematic Review
In: Pharmaceutics; Volume 14; Issue 2; Pages: 266 (2022)
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8
Vec2Dynamics: A Temporal Word Embedding Approach to Exploring the Dynamics of Scientific Keywords—Machine Learning as a Case Study
In: Big Data and Cognitive Computing; Volume 6; Issue 1; Pages: 21 (2022)
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9
Lexica corpus (v2.0) ...
Hewett, Freya; Stede, Manfred. - : Zenodo, 2022
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10
Lexica corpus (v2.0) ...
Hewett, Freya; Stede, Manfred. - : Zenodo, 2022
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11
Hebrew Transformed: Machine Translation of Hebrew Using the Transformer Architecture
Crater, David T. - 2022
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12
Causal and Semantic Relations in L2 Text Processing: An Eye-Tracking Study
Nahatame, Shingo. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022
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13
Phylogenetic trees: Grammar versus vocabulary
In: Russian Journal of Linguistics, Vol 26, Iss 1, Pp 31-50 (2022) (2022)
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14
French de and en as expressions of the genitive case: a unified analysis within LFG and computational implementation in XLE1
In: DELTA: Documentação e Estudos em Linguística Teórica e Aplicada; v. 37 n. 1 (2021) ; 1678-460X ; 0102-4450 (2022)
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15
Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics ; Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics: Dagstuhl Seminar 21351
In: Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-03507948 ; Universals of Linguistic Idiosyncrasy in Multilingual Computational Linguistics, Aug 2021, pp.89--138, 2021, 2192-5283. ⟨10.4230/DagRep.11.7.89⟩ ; https://gitlab.com/unlid/dagstuhl-seminar/-/wikis/home (2021)
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16
Type-logical investigations: proof-theoretic, computational and linguistic aspects of modern type-logical grammars
Moot, Richard. - : HAL CCSD, 2021
In: https://hal-lirmm.ccsd.cnrs.fr/tel-03452731 ; Computation and Language [cs.CL]. Université Montpellier, 2021 (2021)
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17
Arc-Eager Construction Provides Learning Advantage Beyond Stack Management
Barnett, Phillip A. - : eScholarship, University of California, 2021
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18
Dialogue Modeling in a Dynamic Framework ; Modélisation dynamique des dialogues
Boritchev, Maria. - : HAL CCSD, 2021
In: https://hal.archives-ouvertes.fr/tel-03541628 ; Computation and Language [cs.CL]. Université de Lorraine; École doctorale IAEM Lorraine - Informatique, Automatique, Électronique - Électrotechnique, Mathématiques de Lorraine, 2021. English. ⟨NNT : 2021LORR0199⟩ (2021)
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19
SM to: Is there a bilingual disadvantage for word segmentation? A computational modeling approach ...
Fibla, Laia. - : Open Science Framework, 2021
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20
Micropoetry meets Neurocognitive Poetics ... : Influence of Associations on the Reception of Poetry ...
Hugentobler, Katharina Gloria; Lüdtke, Jana. - : Freie Universität Berlin, 2021
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