Identifying comparable entities from online question-answering contents
Identifying comparable entities from online question-answering contents
复制标题
从在线问答内容中识别可比实体
DOI：
10.1016/j.im.2021.103449
复制
发表时间：
2021-04
影响因子：
9.9
通讯作者：
Wang Kanliang
中科院分区：
文献类型：
--
作者：
Zhang Jin;Wang Liye;Wang Kanliang
作为一个新兴平台，在线问答 (Q&A) 社区正在成为宝贵的语料库来源，反映专家消费者对可比实体的意见。在本研究中，提出了一种新方法——从在线问答内容中识别可比实体（ICQA）——来有效地从在线问答社区中提取可比实体。在ICQA中，首先利用基于模式的方法和基于监督学习的方法的优点来提取候选实体。然后，考虑问答内容中的可信度差异和实体相关性，构建实体比较网络，分析实体之间的竞争力，并相应地从候选实体中提取可比实体。因此，在相同的方法框架内，对于管理者或消费者指定的给定实体，可以同时识别可比实体及其竞争力排名。以汽车行业为实验背景，通过可比实体识别和可比实体排名的综合实验证明了ICQA的有效性。实验结果表明，与最先进的方法相比，ICQA可以识别更准确、更广泛的可比实体，发现其他方法忽略的新实体，并提供更可靠的可比实体排名特征，这些特征被认为是管理者和消费者基于在线问答内容做出理性决策所需要和适用的。
As an emerging platform, online question-answering (Q&A) communities are becoming valuable corpus sources that reflect the opinions of expert consumers on comparable entities. In this study, a novel method-Identifying Comparable entities from online Question-Answering contents (ICQA)-is proposed to effectively extract comparable entities from online Q&A communities. In ICQA, candidate entities are firstly extracted by utilizing the advantages of pattern-based methods and supervised learning-based methods. An entity comparison network is then built by considering the credibility difference and entity relatedness in Q&A contents to analyze competitiveness between entities and extract comparable entities from candidate entities accordingly. Thus, within the same method framework, comparable entities and their competitiveness ranks can be simultaneously identified for a given entity specified by managers or consumers. By taking the automotive industry as the experimental background, the effectiveness of ICQA is demonstrated with comprehensive experiments regarding comparable entity identification and comparable entity ranking. Experimental results demonstrate that compared with stateof-the-art methods, ICQA can identify more accurate and broader comparable entities, find novel entities ignored by other methods, and provide a more solid comparable entity rank-features that are deemed desirable and applicable for both managers and consumers in making rational decisions based on online Q&A contents.
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发表时间：
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期刊：
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影响因子：
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