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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 – 8 of 8 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 Minimal Supervision for Morphological Inflection ... Goldman, Omer; Tsarfaty, Reut. - : arXiv, 2021 BASE Show details 4 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 5 The Extraordinary Failure of Complement Coercion Crowdsourcing ... Elazar, Yanai; Basmov, Victoria; Ravfogel, Shauli. - : arXiv, 2020 BASE Show details 6 Evaluating Models' Local Decision Boundaries via Contrast Sets ... Gardner, Matt; Artzi, Yoav; Basmova, Victoria. - : arXiv, 2020 BASE Show details 7 pyBART: Evidence-based Syntactic Transformations for IE ... Tiktinsky, Aryeh; Goldberg, Yoav; Tsarfaty, Reut. - : arXiv, 2020 BASE Show details 8 From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)? ... Tsarfaty, Reut; Bareket, Dan; Klein, Stav; Seker, Amit. - : arXiv, 2020 Abstract: It has been exactly a decade since the first establishment of SPMRL, a research initiative unifying multiple research efforts to address the peculiar challenges of Statistical Parsing for Morphologically-Rich Languages (MRLs).Here we reflect on parsing MRLs in that decade, highlight the solutions and lessons learned for the architectural, modeling and lexical challenges in the pre-neural era, and argue that similar challenges re-emerge in neural architectures for MRLs. We then aim to offer a climax, suggesting that incorporating symbolic ideas proposed in SPMRL terms into nowadays neural architectures has the potential to push NLP for MRLs to a new level. We sketch strategies for designing Neural Models for MRLs (NMRL), and showcase preliminary support for these strategies via investigating the task of multi-tagging in Hebrew, a morphologically-rich, high-fusion, language ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2005.01330 https://arxiv.org/abs/2005.01330 BASE Hide details

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