Papers with MF
Mention Flags (MF): Constraining Transformer-based Text Generators (2021.acl-long)
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| Challenge: | Constrained decoding algorithms produce hypotheses satisfying all constraints, but they are computationally expensive and can lower the generated text quality. |
| Approach: | They propose a Mention Flag mechanism which traces whether lexical constraints are satisfied in outputs of an S2S decoder. |
| Outcome: | The proposed models maintain higher constraint satisfaction and text quality than baseline models and other constrained decoding algorithms. |
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks (P19-1)
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| Challenge: | Existing approaches to semantic dependency parsing are graph-based and transition-based. |
| Approach: | They propose a second-order semantic dependency parser which takes relationships between two or more edges into account. |
| Outcome: | The proposed algorithm outperforms existing approaches to parsing on graph-based approaches. |