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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 Hits 1 – 20 of 36 1 A Neural Pairwise Ranking Model for Readability Assessment ... Lee, Justin; Vajjala, Sowmya. - : arXiv, 2022 BASE Show details 2 Vikidia En/Fr bilingual dataset for Automatic Readability Assessment ... Lee, Justin; Vajjala, Sowmya. - : Zenodo, 2022 BASE Show details 3 Vikidia En/Fr bilingual dataset for Automatic Readability Assessment ... Lee, Justin; Vajjala, Sowmya. - : Zenodo, 2022 BASE Show details 4 Universal Dependencies 2.9 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 5 Universal Dependencies 2.8.1 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 6 Universal Dependencies 2.8 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2021 BASE Show details 7 Teaching NLP outside Linguistics and Computer Science classrooms: Some challenges and some opportunities ... Vajjala, Sowmya. - : arXiv, 2021 BASE Show details 8 Are pre-trained text representations useful for multilingual and multi-dimensional language proficiency modeling? ... Rama, Taraka; Vajjala, Sowmya. - : arXiv, 2021 Abstract: Development of language proficiency models for non-native learners has been an active area of interest in NLP research for the past few years. Although language proficiency is multidimensional in nature, existing research typically considers a single "overall proficiency" while building models. Further, existing approaches also considers only one language at a time. This paper describes our experiments and observations about the role of pre-trained and fine-tuned multilingual embeddings in performing multi-dimensional, multilingual language proficiency classification. We report experiments with three languages -- German, Italian, and Czech -- and model seven dimensions of proficiency ranging from vocabulary control to sociolinguistic appropriateness. Our results indicate that while fine-tuned embeddings are useful for multilingual proficiency modeling, none of the features achieve consistently best performance for all dimensions of language proficiency. All code, data and related supplementary material can ... : 10 pages ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/2102.12971 https://dx.doi.org/10.48550/arxiv.2102.12971 BASE Hide details 9 Universal Dependencies 2.7 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 10 Universal Dependencies 2.6 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2020 BASE Show details 11 Are You Being Rhetorical? An Open Corpus of Machine Annotated Rhetorical Moves Knight, Simon; Abel, Sophie; Shibani, Antonette... In: English Publications (2020) BASE Show details 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 BASE Show details 13 Universal Dependencies 2.5 Zeman, Daniel; Nivre, Joakim; Abrams, Mitchell. - : Universal Dependencies Consortium, 2019 BASE Show details 14 Universal Dependencies 2.4 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2019 BASE Show details 15 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko... In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018) BASE Show details 16 Universal Dependencies 2.3 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 17 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 18 Experiments with Universal CEFR Classification ... Vajjala, Sowmya; Rama, Taraka. - : arXiv, 2018 BASE Show details 19 Machine Learning and Applied Linguistics ... Vajjala, Sowmya. - : arXiv, 2018 BASE Show details 20 Experiments with Universal CEFR Classification Vajjala, Sowmya; Rama, Taraka In: English Conference Papers, Posters and Proceedings (2018) BASE Show details Page: 1 2

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