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Microsoft Concept Graph: Mining Semantic Concepts for Short Text Understanding

机译：微软概念图：短文本理解的挖掘语义概念

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Lei Ji; Yujing Wang; Botian Shi; Dawei Zhang; Zhongyuan Wang; Jun Yan;
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年度 2019
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1. The Contribution of Conceptual Change Texts Accompanied by Concept Mapping to Eleventh-Grade Students Understanding of Cellular Respiration Concepts [J] . Salem A. Al khawaldeh, Ali M. Al Olaimat Journal of Science Education and Technology . 2010,第2期

机译：伴随概念图的概念变化文本对十一年级学生对细胞呼吸概念的理解的贡献
2. Creation of Individual Scientific Concept-Centered Semantic Maps Based on Automated Text-Mining Analysis of PubMed [J] . Ekaterina Ilgisonis, Andrey Lisitsa, Valerya Kudryavtseva, Advances in Bioinformatics . 2018,第1期

机译：基于PubMed文本自动挖掘分析的单个科学概念为中心的语义图的创建
3. Creation of Individual Scientific Concept-Centered Semantic Maps Based on Automated Text-Mining Analysis of PubMed [J] . Ekaterina Ilgisonis, Andrey Lisitsa, Valerya Kudryavtseva, Advances in Bioinformatics . 2018,第期

机译：基于PubMed自动化挖掘分析的个人科学概念为中心的语义地图创建
4. Short Text Understanding Based on Conceptual and Semantic Enrichment [C] . Qiuyan Shi, Yongli Wang, Jianhong Sun, International conference on advanced data mining and applications . 2018

机译：基于概念和语义充实的短文本理解
5. Mining semantic relationships between concepts across documents using Wikipedia knowledge. [D] . Yan, Peng. 2013

机译：使用Wikipedia知识挖掘文档之间的概念之间的语义关系。
6. Creation of Individual Scientific Concept-Centered Semantic Maps Based on Automated Text-Mining Analysis of PubMed [O] . Ekaterina Ilgisonis, Andrey Lisitsa, Valerya Kudryavtseva, 2018

机译：基于PubMed文本自动挖掘分析的个性化科学概念为中心的语义图的创建
7. Figure 1: (A) Example of a text-based forma mentis network. A TFMN can be represented either as an edge-coloured graph or as a multiplex network. Positive (negative) words are highlighted in cyan (red). Neutral words are in black. Syntactic links between positive (negative) words are highlighted in cyan (red) too. Syntactic links between positive and negative concepts are in purple. All semantic links of meaning overlap are highlighted in green. (B) Infographics about how a TFMN is assembled. Individuals organise their knowledge and emotional perception of the real world in their mental lexicon (comic clouds). [O] . -1

机译：图1：（a）基于文本的Forma Mentis网络示例。 TFMN可以用作边缘彩色图形或作为多路复用网络表示。在青色（红色）突出显示正（负）单词。中立词是黑色的。在青色（红色）突出显示正（否定）单词之间的句法链接。正面和消极概念之间的句法链接在紫色。含义重叠的所有语义链接都以绿色突出显示。（b）关于TFMN如何组装的信息图表。个人在他们的精神词典（漫画云）中对现实世界组织了他们的知识和情感感知。

Microsoft Concept Graph: Mining Semantic Concepts for Short Text Understanding

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