Chemical Reaction Extraction from Long Patent Documents
<|reference_start|>Chemical Reaction Extraction from Long Patent Documents: The task of searching through patent documents is crucial for chemical patent recommendation and retrieval. This can be enhanced by creating a patent knowledge base (ChemPatKB) to aid in prior art searches and to provide a platform for domain experts to explore new innovations in chemical compound synthesis and use-cases. An essential foundational component of this KB is the extraction of important reaction snippets from long patents documents which facilitates multiple downstream tasks such as reaction co-reference resolution and chemical entity role identification. In this work, we explore the problem of extracting reactions spans from chemical patents in order to create a reactions resource database. We formulate this task as a paragraph-level sequence tagging problem, where the system is required to return a sequence of paragraphs that contain a description of a reaction. We propose several approaches and modifications of the baseline models and study how different methods generalize across different domains of chemical patents.<|reference_end|>
@article{jadhav2024chemical,
    title={Chemical Reaction Extraction from Long Patent Documents},
    author={Aishwarya Jadhav, Ritam Dutt},
    journal={arXiv preprint arXiv:2407.15124},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.15124},
    primaryClass={cs.IR cs.AI cs.LG}
}