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故事启发大语言模型的时序知识图谱预测
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作者 陈娟 赵新潮 +4 位作者 隋京言 祁麟 田辰 庞亮 方金云 《模式识别与人工智能》 EI CSCD 北大核心 2024年第8期715-728,共14页
时序知识图谱海量稀疏,实体的长尾分布导致对分布外实体的推理泛化性较差,历史交互低频导致对未来事件的预测偏差较大.为此,文中提出故事启发大语言模型的时序知识图谱预测方法,利用大语言模型的世界知识储备和复杂语义推理能力,增强对... 时序知识图谱海量稀疏,实体的长尾分布导致对分布外实体的推理泛化性较差,历史交互低频导致对未来事件的预测偏差较大.为此,文中提出故事启发大语言模型的时序知识图谱预测方法,利用大语言模型的世界知识储备和复杂语义推理能力,增强对分布外实体的理解和交互稀疏事件的关联.首先,根据时序知识图谱中时间和结构的特性筛选“关键事件树”,通过历史事件筛选策略提炼最具代表性的事件,并摘要当前查询相关的历史信息,减少数据输入量并保留最重要的信息.然后,微调大语言模型生成器,生成时序语义关联且符合逻辑的“关键事件树”叙事故事,作为非结构化输入.在生成过程中,特别关注事件之间的因果关系和时间顺序,确保生成的故事具有连贯性和合理性.最后,利用大语言模型推理器推理缺失的时序实体.在3个公开数据集上的实验表明,文中方法可充分发挥大模型的能力,完成精准的时序实体推理. 展开更多
关键词 时序知识图谱(TKG) 大语言模型 关键事件树 时序故事 事件推理
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《简·爱》《呼啸山庄》叙事模式比较研究 被引量:1
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作者 董迪雯 《语文建设》 北大核心 2017年第4Z期40-41,共2页
《简·爱》和《呼啸山庄》都是以第一人称进行叙述的,但是二者有不同的叙事模式。《简·爱》以第一人称的视角,充分表达了自己的主观权威性评价,通过单一叙述者的叙述创造了一个虚构域,而《呼啸山庄》有多个叙述者,创设了多个... 《简·爱》和《呼啸山庄》都是以第一人称进行叙述的,但是二者有不同的叙事模式。《简·爱》以第一人称的视角,充分表达了自己的主观权威性评价,通过单一叙述者的叙述创造了一个虚构域,而《呼啸山庄》有多个叙述者,创设了多个虚构域。一、叙事时间1.叙事起点的不同叙事起点在小说的时间安排中非常重要,代表着故事开始叙述的起点。《简·爱》 展开更多
关键词 《呼啸山庄》 叙述者 第一人称 《简·爱》 故事时序 叙事模式
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The "Major Marine Accidents" Do Not Occur Randomly
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作者 Alexandros Markos Goulielmos Androniki Gatzoli 《Journal of Environmental Science and Engineering(B)》 2013年第12期709-722,共14页
It is estimated that $3.2 billion worth of ships was totally lost (2008-2013). In addition, 1,788 ships were involved in MMA (major marine accidents) (2004-2008). However, 70% of those accidents took place in on... It is estimated that $3.2 billion worth of ships was totally lost (2008-2013). In addition, 1,788 ships were involved in MMA (major marine accidents) (2004-2008). However, 70% of those accidents took place in only a quarter of the geographical areas. That is the focus of this study. Hurst's generalization of Einstein's formula for a random time series requires that MMA should cover a distance proportional to the square root of time. The Hurst exponent is derived from the "Rescaled Range Analysis" using MATLAB (2009). The Hurst exponent is 0.50 for a random time series, and this was found to be the case for MMA, in tons of carrying capacity over time. However, considering the time series in relation to the 12 geographical areas, the Hurst exponent for 1,788 MMA was found to be 0.43, which is less than 0.50. This indicates that the time series, related to geographical area, is anti-persistent/non-random. The ships damaged in MMA totaled 27.55 million dwt, and 31% of that tonnage was damaged in the North Sea and Baltic area, 20% in the Mediterranean and Black Sea and 19% in the China Sea. These research findings challenge the assumptions who generally believe that MMA are random in relation to geography. 展开更多
关键词 Major marine accidents RANDOMNESS anti-persistence geographical risk ships totally lost.
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Discovery, invention and serendipity
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作者 Akira Ishikawa 《Chinese Business Review》 2010年第11期61-64,共4页
This paper attempts to relate serendipity, the natural ability to make interesting or valuable discoveries by accident (Longman Discovery of Contemporary English) with notable discoveries and inventions. It connotes... This paper attempts to relate serendipity, the natural ability to make interesting or valuable discoveries by accident (Longman Discovery of Contemporary English) with notable discoveries and inventions. It connotes the profound ability of finding out valuable things different from those who have been exploring by spending a lot of time or for years. The author will illustrate as many cases as possible within a given time constraint, so that surrounding environments and situations may be clarified, and such discoveries and inventions may be plausibly accomplished by accident or with rich reasons. These illustrations include historical as well as more recent cases. One of the cases is beyond the scope of our environment on the earth with preconceived notion, while other cases have given great impacts to our politics and also military intelligence. It should be noted that business and technological intelligence are deeply connected with discoveries, inventions and serendipity. In concluding remarks, the essence of serendipity will be summarized and how to side with the serendipity at the most important moment will be examined by viewing time series endeavors of the inventors and those who have devoted much time to discoveries. 展开更多
关键词 DISCOVERY INVENTION serendipity
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