Papers by Stav Klein
From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)? (2020.acl-main)
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| Challenge: | a decade has passed since the establishment of SPMRL to address the peculiar challenges of Statistical Parsing for Morphologically-rich languages (MRLs). |
| Approach: | They propose a framework for parsing MRLs and propose implementing symbolic ideas into modern neural architectures. |
| Outcome: | The proposed strategies are based on the multi-tagging task in Hebrew, a morphologically-rich, high-fusion, language. |
What’s Wrong with Hebrew NLP? And How to Make it Right (D19-3)
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| Challenge: | Sub-optimal performance of many morphologically rich languages (MRLs) is due to errors in early morphology disambiguation decisions, that cannot be recovered later on in the pipeline, yielding incoherent annotations on the whole. |
| Approach: | They propose to use a joint morpho-syntactic infrastructure for processing Modern Hebrew texts to provide rich and expressive annotations. |
| Outcome: | The proposed pipelines are based on a morpho-syntactic infrastructure for processing Modern Hebrew texts. |