Papers by Maria A. Rodriguez
BLM-AgrF: A New French Benchmark to Investigate Generalization of Agreement in Neural Networks (2023.eacl-main)
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| Challenge: | Existing benchmarks for deep learning are based on massive amounts of data, which are effective in hiding some of the shallowness of the learned models. |
| Approach: | They propose to use a French dataset to learn the underlying rules of subject-verb agreement in sentences, inspired by visual IQ tests known as Raven’s Progressive Matrices. |
| Outcome: | The proposed method is based on Raven’s Progressive Matrices, a visual IQ test, and a dataset built using the BLM framework. |