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A Neural Pairwise Ranking Model for Readability Assessment ...
Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022
Abstract: Automatic Readability Assessment (ARA), the task of assigning a reading level to a text, is traditionally treated as a classification problem in NLP research. In this paper, we propose the first neural, pairwise ranking approach to ARA and compare it with existing classification, regression, and (non-neural) ranking methods. We establish the performance of our model by conducting experiments with three English, one French and one Spanish datasets. We demonstrate that our approach performs well in monolingual single/cross corpus testing scenarios and achieves a zero-shot cross-lingual ranking accuracy of over 80% for both French and Spanish when trained on English data. Additionally, we also release a new parallel bilingual readability dataset in English and French. To our knowledge, this paper proposes the first neural pairwise ranking model for ARA, and shows the first results of cross-lingual, zero-shot evaluation of ARA with neural models. ... : to appear in Findings of ACL 2022 ...
Keyword: Artificial Intelligence cs.AI; Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://dx.doi.org/10.48550/arxiv.2203.07450
https://arxiv.org/abs/2203.07450
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2
Vikidia En/Fr bilingual dataset for Automatic Readability Assessment ...
Lee, Justin; Vajjala, Sowmya. - : Zenodo, 2022
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3
Vikidia En/Fr bilingual dataset for Automatic Readability Assessment ...
Lee, Justin; Vajjala, Sowmya. - : Zenodo, 2022
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4
Universal Dependencies 2.9
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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5
Universal Dependencies 2.8.1
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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6
Universal Dependencies 2.8
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021
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7
Teaching NLP outside Linguistics and Computer Science classrooms: Some challenges and some opportunities ...
Vajjala, Sowmya. - : arXiv, 2021
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8
Are pre-trained text representations useful for multilingual and multi-dimensional language proficiency modeling? ...
Rama, Taraka; Vajjala, Sowmya. - : arXiv, 2021
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9
Universal Dependencies 2.7
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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10
Universal Dependencies 2.6
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020
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11
Are You Being Rhetorical? An Open Corpus of Machine Annotated Rhetorical Moves
In: English Publications (2020)
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12
Linguistic Metrics for Patent Disclosure: Evidence from University versus Corporate Patents
Kong, Nancy; Vajjala, Sowmya; Dulleck, Uwe. - : Munich: Center for Economic Studies and Ifo Institute (CESifo), 2020
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13
Universal Dependencies 2.5
Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019
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14
Universal Dependencies 2.4
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019
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15
Universal Dependencies 2.2
In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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16
Universal Dependencies 2.3
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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17
Universal Dependencies 2.2
Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018
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18
Experiments with Universal CEFR Classification ...
Vajjala, Sowmya; Rama, Taraka. - : arXiv, 2018
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19
Machine Learning and Applied Linguistics ...
Vajjala, Sowmya. - : arXiv, 2018
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20
Experiments with Universal CEFR Classification
In: English Conference Papers, Posters and Proceedings (2018)
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