用自动摘要生成专利查询，提升检索效果。
Enhancing patent retrieval using automated patent summarization
- 用抽取和生成式摘要技术压缩专利文档
- 摘要作查询比完整段落检索效果更好
- 适合需要高效检索专利的技术人员
在长文档信息检索中，有效构建查询是一项关键挑战，尤其在专利检索这类领域特定场景下，专利文档冗长、语言复杂且包含多个相互关联的技术主题。本文应用最新的抽取式与生成式摘要方法，生成针对特定目的的简洁专利摘要，并评估这些自动生成摘要作为替代查询在三个基准专利数据集上的有效性，与传统使用完整专利章节的方法进行对比。实验结果表明，基于摘要的查询显著提升了现有技术检索的准确性，凸显其作为传统查询构建方法高效替代方案的潜力。
原文摘要 · Abstract (English)
Effective query formulation is a key challenge in long-document Information Retrieval (IR). This challenge is particularly acute in domain-specific contexts like patent retrieval, where documents are lengthy, linguistically complex, and encompass multiple interrelated technical topics. In this work, we present the application of recent extractive and abstractive summarization methods for generating concise, purpose-specific summaries of patent documents. We further assess the utility of these automatically generated summaries as surrogate queries across three benchmark patent datasets and compare their retrieval performance against conventional approaches that use entire patent sections. Experimental results show that summarization-based queries significantly improve prior-art retrieval effectiveness, highlighting their potential as an efficient alternative to traditional query formulation techniques.
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