| Challenge: | a parsing system for Wolof is developed based on the Lexical Functional Grammar (LFG) system provides detailed syntactic analysis essential for the further development of NLP applications. |
| Approach: | They propose a parsing system for Wolof based on the Lexical Functional Grammar (LFG) system uses finite-state transducers for word tokenization and morphological analysis . |
| Outcome: | The proposed system achieves 67.2% recall, 92.8% precision and an f-score of 77.9%. |
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| Challenge: | 77 submissions were received for the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) 4 of the 73 valid submissions received were either invalid or withdrawn by the authors. |
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| Challenge: | Sequence-to-sequence (seq2sequ) models have been successful in semantic parsing tasks but struggle on out-of-distribution data. |
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Input Representations for Parsing Discourse Representation Structures: Comparing English with Chinese (2021.acl-short)
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