MathKnowTopic: Creation of a Unified Knowledge Graph-Based Topic Modeling from Mathematical Text Books
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-2602-2_47
Reference12 articles.
1. Ji S, Pan S, Cambria E, Marttinen P, Philip SY (2021) A survey on knowledge graphs: representation, acquisition, and applications. IEEE Trans Neural Netw Learn Syst. https://doi.org/10.1109/TNNLS.2021.3070843
2. Wu M, Jin C, Hu W, Chen Y (2021) Enhanced language model with hybrid knowledge graph for mathematical topic prediction. https://doi.org/10.22541/au.163491250.03226531/v1
3. Li W, Abels P, Ahmadi Z, Burkhardt S, Schiller B, Gurevych I, Kramer S (2021) Topic-guided knowledge graph construction for argument mining. In: 2021 IEEE international conference on big knowledge (ICBK). IEEE, pp 315–322. https://doi.org/10.1109/ICKG52313.2021.00049
4. Tosi MDL, dos Reis JC (2021) SciKGraph: a knowledge graph approach to structure a scientific field. J Inf 15(1):101109. https://doi.org/10.1016/j.joi.2020.101109
5. Badawy A, Fisteus JA, Mahmoud TM, Abd El-Hafeez T (2021) Topic extraction and interactive knowledge graphs for learning resources. Sustainability 14(1):226. https://doi.org/10.3390/su14010226
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