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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 Hits 1 – 14 of 14 1 On Efficiently Acquiring Annotations for Multilingual Models ... Moniz, Joel Ruben Antony; Patra, Barun; Gormley, Matthew R.. - : arXiv, 2022 BASE Show details 2 Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction ... Ryskina, Maria; Hovy, Eduard; Berg-Kirkpatrick, Taylor. - : arXiv, 2021 BASE Show details 3 Comparative Error Analysis in Neural and Finite-state Models for Unsupervised Character-level Transduction ... 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; Berg-Kirkpatrick, Taylor; Gormley, Matthew; Hovy, Eduard; Ryskina, Maria. - : Underline Science Inc., 2021 Abstract: Traditionally, character-level transduction problems have been solved with finite-state models designed to encode structural and linguistic knowledge of the underlying process, whereas recent approaches rely on the power and flexibility of sequence-to-sequence models with attention. Focusing on the less explored unsupervised learning scenario, we compare the two model classes side by side and find that they tend to make different types of errors even when achieving comparable performance. We analyze the distributions of different error classes using two unsupervised tasks as testbeds: converting informally romanized text into the native script of its language (for Russian, Arabic, and Kannada) and translating between a pair of closely related languages (Serbian and Bosnian). Finally, we investigate how combining finite-state and sequence-to-sequence models at decoding time affects the output quantitatively and qualitatively. ... Keyword: Computational Linguistics; Condensed Matter Physics; Electromagnetism; FOS Physical sciences; Information and Knowledge Engineering; Neural Network; Semantics URL: https://underline.io/lecture/30086-comparative-error-analysis-in-neural-and-finite-state-models-for-unsupervised-character-level-transduction https://dx.doi.org/10.48448/mwhd-kd58 BASE Hide details 4 Phonetic and Visual Priors for Decipherment of Informal Romanization ... Ryskina, Maria; Gormley, Matthew R.; Berg-Kirkpatrick, Taylor. - : arXiv, 2020 BASE Show details 5 Bilingual Lexicon Induction with Semi-supervision in Non-Isometric Embedding Spaces ... Patra, Barun; Moniz, Joel Ruben Antony; Garg, Sarthak. - : arXiv, 2019 BASE Show details 6 Concretely Annotated English Gigaword Ferraro, Francis; Thomas, Max; Gormley, Matthew R.. - : Linguistic Data Consortium, 2018. : https://www.ldc.upenn.edu, 2018 BASE Show details 7 Concretely Annotated New York Times Ferraro, Francis; Thomas, Max; Wolfe, Travis. - : Linguistic Data Consortium, 2018. : https://www.ldc.upenn.edu, 2018 BASE Show details 8 Neural Factor Graph Models for Cross-lingual Morphological Tagging ... Malaviya, Chaitanya; Gormley, Matthew R.; Neubig, Graham. - : arXiv, 2018 BASE Show details 9 Concretely Annotated New York Times ... Ferraro, Francis; Thomas, Max; Wolfe, Travis. - : Linguistic Data Consortium, 2018 BASE Show details 10 Concretely Annotated English Gigaword ... Ferraro, Francis; Thomas, Max; Gormley, Matthew R.. - : Linguistic Data Consortium, 2018 BASE Show details 11 Embedding Lexical Features via Low-Rank Tensors ... Yu, Mo; Dredze, Mark; Arora, Raman. - : arXiv, 2016 BASE Show details 12 Improved Relation Extraction with Feature-Rich Compositional Embedding Models ... Gormley, Matthew R.; Yu, Mo; Dredze, Mark. - : arXiv, 2015 BASE Show details 13 Annotated English Gigaword Napoles, Courtney; Gormley, Matthew R.; Van Durme, Benjamin. - : Linguistic Data Consortium, 2012. : https://www.ldc.upenn.edu, 2012 BASE Show details 14 Annotated English Gigaword ... Napoles, Courtney; Gormley, Matthew R.; Van Durme, Benjamin. - : Linguistic Data Consortium, 2012 BASE Show details

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