论文标题
通过确定点过程的多种多回答检索
Diverse Multi-Answer Retrieval with Determinantal Point Processes
论文作者
论文摘要
通常向开放域的问题答复系统提供的问题是模棱两可的。提供单个答案的传统质量检查系统无法回答模棱两可的问题，因为该问题可以通过几种方式解释，并且可能有多个不同的答案。在本文中，我们解决了多回答的检索，该检索需要检索可以捕获大多数问题的段落。我们建议使用利用BERT作为内核的确定点过程进行基于重新排列的方法。我们的方法共同考虑了查询通行的相关性和通过通用相关性，以检索与查询相关且多样化的段落。结果表明，我们的重新排列技术在Ambigqa数据集上的最先进方法优于最先进的方法。
Often questions provided to open-domain question answering systems are ambiguous. Traditional QA systems that provide a single answer are incapable of answering ambiguous questions since the question may be interpreted in several ways and may have multiple distinct answers. In this paper, we address multi-answer retrieval which entails retrieving passages that can capture majority of the diverse answers to the question. We propose a re-ranking based approach using Determinantal point processes utilizing BERT as kernels. Our method jointly considers query-passage relevance and passage-passage correlation to retrieve passages that are both query-relevant and diverse. Results demonstrate that our re-ranking technique outperforms state-of-the-art method on the AmbigQA dataset.
