Summary of Patentedits: Framing Patent Novelty As Textual Entailment, by Ryan Lee et al.
PatentEdits: Framing Patent Novelty as Textual Entailment
by Ryan Lee, Alexander Spangher, Xuezhe Ma
First submitted to arxiv on: 20 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Computers and Society (cs.CY); Information Retrieval (cs.IR)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This research paper introduces a novel task in patent law, predicting what claims of an invention should be revised given prior art. The US Patent Office (USPTO) requires patents to be deemed novel and non-obvious, but the process of securing invention rights relies heavily on expert judgment. The authors propose a learnable task by introducing the PatentEdits dataset, containing 105K examples of successful revisions that overcome objections to novelty. They design algorithms to label edits sentence-by-sentence and evaluate the performance of large language models (LLMs) in predicting these edits. The study demonstrates that textual entailment between cited references and draft sentences is particularly effective in identifying novel claims. The authors’ approach has significant implications for patent practice, as it enables more efficient and accurate prediction of inventive claims. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary In this paper, scientists try to help the US Patent Office (USPTO) make better decisions about what inventions are new and important. They want to figure out how to change an invention’s “claims” – the specific things that make it unique – when someone else already has a similar idea. The authors create a special dataset with many examples of successful changes, then use big language models (LLMs) to see if they can predict what changes are needed. They find that by comparing old ideas to new ones, they can better understand which parts of an invention are truly new and important. |
