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Bridging Inference Based Sentence Linking Model for Semantic Coherence

机译：基于桥接推理的语义关联句子链接模型

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摘要

As the various social Medias emerge on the web, how to link the large scale of unordered short texts with semantic coherence is becoming a practical problem since these short texts have vast decentralized topics, weak associate relations, abundant noise and large redundancy. The challenging issues to solve the above problem includes what knowledge foundation supports sentence linking process and how to link these unordered short texts for pursuing well coherence. Herein, the authors develop bridging inference based sentence linking model by simulating human beings' discourse bridging process, which narrows semantic coherence gaps between short texts. Such model supports linking process by implicit and explicit knowledge and proposes different bridging inference schemas to guide the linking process. The bridging inference based linking process under different schemas generates different semantic coherence including central semantics, concise semantics and layered semantics etc. To validate the bridging inference based sentence linking model, the authors conduct some experiments. Experimental results confirm that the proposed bridging inference based sentence linking process increases semantic coherence. The model can be used in short-text origination, e-learning, e-science, web semantic search, and online question-answering system in the future works.
机译：随着各种社交媒体在网络上的出现，如何将大量无序的短文本与语义连贯性联系起来已成为一个实际问题，因为这些短文本具有分散的主题，弱的关联关系，丰富的噪音和大量的冗余。解决上述问题的挑战性问题包括哪些知识基础支持句子链接过程以及如何链接这些无序的短文本以实现良好的连贯性。本文中，作者通过模拟人类的话语桥接过程，开发了基于桥接推理的句子链接模型，从而缩小了短文本之间的语义连贯性差距。这种模型通过隐式和显式知识支持链接过程，并提出了不同的桥接推理方案来指导链接过程。在不同模式下，基于桥接推理的链接过程会产生不同的语义连贯性，包括中心语义，简洁语义和分层语义等。为验证基于桥接推理的句子链接模型，作者进行了一些实验。实验结果证实，所提出的基于桥接推理的句子链接过程增加了语义一致性。该模型可用于未来的短文起源，电子学习，电子科学，网络语义搜索和在线问答系统。

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