标题： KnowRA：具有全面推理能力的文档级关系抽取知识检索增强方法 显示英文标题

标题： KnowRA: Knowledge Retrieval Augmented Method for Document-level Relation Extraction with Comprehensive Reasoning Abilities

摘要： 文档级关系抽取（Doc-RE）旨在跨多个句子提取实体之间的关系。因此，与句子级RE相比，Doc-RE需要更全面的推理能力，涉及实体、上下文和外部通用知识之间的复杂跨句交互。然而，大多数现有的Doc-RE方法专注于优化单一推理能力，缺乏利用外部知识进行长文档综合推理的能力。为了解决这些问题，提出了一种名为KnowRA的知识检索增强方法，通过综合推理自主决定是否接受外部知识以辅助DocRE。首先，我们构建了一个文档图用于语义编码，并集成了共指消解模型以增强共指推理能力。然后，通过检索外部知识库进行常识推理，将文档图扩展为文档知识图，并提出了一种新颖的知识过滤方法来过滤无关知识。最后，我们提出了轴注意力机制，以建立与中间实体的直接和间接关联，实现跨句逻辑推理。在两个数据集上进行的大量实验验证了我们的方法相对于最先进的基线的有效性。我们的代码可在 https://anonymous.4open.science/r/KnowRA 获取。 显示英文摘要

摘要： Document-level relation extraction (Doc-RE) aims to extract relations between entities across multiple sentences. Therefore, Doc-RE requires more comprehensive reasoning abilities like humans, involving complex cross-sentence interactions between entities, contexts, and external general knowledge, compared to the sentence-level RE. However, most existing Doc-RE methods focus on optimizing single reasoning ability, but lack the ability to utilize external knowledge for comprehensive reasoning on long documents. To solve these problems, a knowledge retrieval augmented method, named KnowRA, was proposed with comprehensive reasoning to autonomously determine whether to accept external knowledge to assist DocRE. Firstly, we constructed a document graph for semantic encoding and integrated the co-reference resolution model to augment the co-reference reasoning ability. Then, we expanded the document graph into a document knowledge graph by retrieving the external knowledge base for common-sense reasoning and a novel knowledge filtration method was presented to filter out irrelevant knowledge. Finally, we proposed the axis attention mechanism to build direct and indirect associations with intermediary entities for achieving cross-sentence logical reasoning. Extensive experiments conducted on two datasets verified the effectiveness of our method compared to the state-of-the-art baselines. Our code is available at https://anonymous.4open.science/r/KnowRA.