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Knowledge-based neural pre-training for Intelligent Document Management ...
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Learning to Solve NLP Tasks in an Incremental Number of Languages ...
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Abstract:
Read paper: https://www.aclanthology.org/2021.acl-short.106 Abstract: In real scenarios, a multilingual model trained to solve NLP tasks on a set of languages can be required to support new languages over time. Unfortunately, the straightforward retraining on a dataset containing annotated examples for all the languages is both expensive and time-consuming, especially when the number of target languages grows. Moreover, the original annotated material may no longer be available due to storage or business constraints. Re-training only with the new language data will inevitably result in Catastrophic Forgetting of previously acquired knowledge. We propose a Continual Learning strategy that updates a model to support new languages over time, while maintaining consistent results on previously learned languages. We define a Teacher-Student framework where the existing model "teaches" to a student model its knowledge about the languages it supports, while the student is also trained on a new language. We report an ...
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URL: https://underline.io/lecture/25853-learning-to-solve-nlp-tasks-in-an-incremental-number-of-languages https://dx.doi.org/10.48448/pc0z-nv73
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-io Nouns through the Ages. Analysing Latin Morphological Productivity with Lemlat
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A little bit of bella pianura: Detecting Code-Mixing in Historical English Travel Writing
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Domain-specific named entity disambiguation in historical memoirs
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Harmonization and development of resources and tools for Italian natural language processing within the PARLI project
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The Importance of Being sum. Network Analysis of a Latin Dependency Treebank
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Passarotti, Marco Carlo (orcid:0000-0002-9806-7187). - : Pisa University Press, 2014. : country:ITA, 2014. : place:Pisa, 2014
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Learning selectional preferences for entailment or paraphrasing rules
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In: http://www.marcopennacchiotti.com/pro/publications/RANLP_2007_1.pdf (2007)
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