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Entities as topic labels : improving topic interpretability and evaluability combining Entity Linking and Labeled LDA

机译：实体作为主题标签：结合实体链接和标记的LDA来提高主题的可解释性和可评估性

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作者
Nanni Federico; Ruiz Fabo Pablo;
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年度 2016
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1. Evaluating Topic Modeling Interpretability Using Topic Labeled Gold-standard Sets [J] . Biagio Palese, Gabriele Piccoli Communications of the Association for Information Systems . 2020,第a期

机译：评估主题使用标有金标准集的主题建模解释性
2. ERD-MedLDA: Entity relation detection using supervised topic models with maximum margin learning [J] . DINGCHENG LI, SWAPNA SOMASUNDARAN, AMIT CHAKRABORTY Natural language engineering . 2012,第PTa2期

机译：ERD-MedLDA：使用受监督的主题模型进行实体关系检测，并获得最大的利润学习
3. Collective disambiguation in entity linking based on topic coherence in semantic graphs [J] . Rama-Maneiro Efren, Vidal Juan C., Lama Manuel Knowledge-Based Systems . 2020,第Jul8期

机译：基于语义图主题连贯的实体链接中的集体歧义
4. Things and Strings: Improving Place Name Disambiguation from Short Texts by Combining Entity Co-Occurrence with Topic Modeling [C] . Yiting Ju, Benjamin Adams, Krzysztof Janowicz, International conference on knowledge engineering and knowledge management . 2016

机译：事物和字符串：通过将实体共现与主题建模相结合来改善短文本中的地名歧义消除
5. Things and Strings and More: Improving Place Name Disambiguation from Short Texts by Combining Entity Co-Occurrence, Topic Modeling, and Word Embedding [D] . Ju, Yiting. 2017

机译：事物和字符串和更多：通过组合实体共同发生，主题建模和单词嵌入来改善从短文本的歧义
6. Supporting Inter-topic Entity Search for Biomedical Linked Data Based on Heterogeneous Relationships [O] . Nansu Zong, Sungin Lee, Jinhyun Ahn, -1

机译：支持基于异构关系的生物医学关联数据主题间实体搜索
7. Entities as Topic Labels: Combining Entity Linking and Labeled LDA to Improve Topic Interpretability and Evaluability [O] . Anne Lauscher, Pablo Ruiz Fabo, Federico Nanni, 2016

机译：实体作为主题标签：将实体链接和标记为LDA的组合，以提高主题解释性和评估性

Entities as topic labels : improving topic interpretability and evaluability combining Entity Linking and Labeled LDA

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