Publication: Concept identification of directly and indirectly related mentions referring to groups of persons
Concept identification of directly and indirectly related mentions referring to groups of persons
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Zhukova, A., Hamborg, F., Donnay, K., & Gipp, B. (2021). Concept identification of directly and indirectly related mentions referring to groups of persons. In K. Toeppe, H. Yan, & S. K. W. Chu (Eds.), Diversity, divergence, dialogue (pp. 514–526). Springer. https://doi.org/10.1007/978-3-030-71292-1_40
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Unsupervised concept identification through clustering, i.e., identification of semantically related words and phrases, is a common approach to identify contextual primitives employed in various use cases, e.g., text dimension reduction, i.e., replace words with the concepts to reduce the vocabulary size, summarization, and named entity resolution. We demonstrate the first results of an unsupervised approach for the identification of groups of persons as actors extracted from a set of related articles. Specifically, the approach clust
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- Zhukova, Anastasia
- Hamborg, Felix
- Gipp, Bela
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Zhukova, A., Hamborg, F., Donnay, K., & Gipp, B. (2021). Concept identification of directly and indirectly related mentions referring to groups of persons. In K. Toeppe, H. Yan, & S. K. W. Chu (Eds.), Diversity, divergence, dialogue (pp. 514–526). Springer. https://doi.org/10.1007/978-3-030-71292-1_40
