Papers by Kamen Pavlov
Can Transformers Reason in Fragments of Natural Language? (2022.emnlp-main)
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| Challenge: | Recent work on natural language inference has identified two strands of research . |
| Approach: | They investigate whether neural networks have acquired logical principles from natural language . they use transformer-based models to detect valid inferences in controlled fragments of natural language. |
| Outcome: | The proposed model overfits to superficial patterns in the data rather than acquiring the logical principles governing reasoning in natural language fragments. |