Papers with attention baseline
Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs (D19-1)
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| Challenge: | Semantic parsing aims to map natural language utterances onto machine interpretable meaning representations. |
| Approach: | They propose to instill an inductive bias in the parser to help it distinguish between spurious and correct programs. |
| Outcome: | The proposed model is highly tractable on WikiTableQuestions and WikiSQL datasets. |
Wiktionary Normalization of Translations and Morphological Information (2020.coling-main)
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| Challenge: | We extend the Yawipa Wiktionary Parser to extract and normalize translations from etymology glosses and morphological form-of relations. |
| Approach: | They extend Yawipa to extract and normalize translations from etymology glosses . they propose a method to identify typos in translation annotations based on extracted morphological data . |
| Outcome: | The proposed method improves on a standard attention baseline by using copy attention. |