arXiv (All)
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From Rules to Neural Graphs: Scalable Structured Prediction for Patent Prior Art Search
Patent search requires processing documents routinely exceeding tens of thousands of tokens. Most neural retrieval approaches operate on truncated inputs, limiting their effectiveness. Graph-based retrieval addresses this by representing each patent as a structured invention graph, but constructing
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