Papers by Derin Ozer
Rethinking NLP for Chemistry: A Critical Look at the USPTO Benchmark (2025.findings-emnlp)
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| Challenge: | Natural Language Processing (NLP) has revolutionized computer-aided synthesis planning by reframing chemical synthesis prediction as a sequence-to-sequence modeling problem over molecular string representations like SMILES. |
| Approach: | They propose to reframe chemical synthesis prediction as a sequence-to-sequence modeling problem over molecular string representations like SMILES. |
| Outcome: | The proposed framework yields impressive benchmark scores on the USPTO dataset, a large corpus of reactions extracted from US patents. |