Papers with 5-fold cross validation
Multi-Dialect Arabic POS Tagging: A CRF Approach (L18-1)
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Kareem Darwish, Hamdy Mubarak, Ahmed Abdelali, Mohamed Eldesouki, Younes Samih, Randah Alharbi, Mohammed Attia, Walid Magdy, Laura Kallmeyer
| Challenge: | Existing work on dialectal POS tagging is rather scant with POS tags for most dialects being nonexistent or of limited availability. |
| Approach: | They propose a dataset of POS-tagged Arabic tweets in four major dialects and a tagging guideline for each dialect. |
| Outcome: | The proposed model can tag four different dialects with an average accuracy of 89.3%. |
On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries (2020.findings-emnlp)
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| Challenge: | Large-scale semantic parsing datasets annotated with logical forms have enabled advances in supervised approaches. |
| Approach: | They propose to enrich English-language questions with SQL equivalents and alignments . they propose to use supervised attention and an auxiliary objective to disambiguate references . |
| Outcome: | The proposed method improves over strong baselines by 4.4% execution accuracy. |
Using English Baits to Catch Serbian Multi-Word Terminology (L18-1)
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| Challenge: | a new method for bilingual terminology extraction is proposed for a source language and a target language. |
| Approach: | They propose to use a bilingual terminology extraction approach for a source language and a target language to extract the terminology for sri lanka. |
| Outcome: | The proposed method extracts terminology for a source language and a target language from it. |