LSTM-Based Model for Extracting Temporal Relations from Korean Text

Research article (2018 IEEE International Conference on Big Data and Smart Computing (BigComp), 2018) · cited 11× · AI/ML
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LSTM-Based Model for Extracting Temporal Relations from Korean Text

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LSTM-Based Model for Extracting Temporal Relations from Korean Text is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). LSTM-Based Model for Extracting Temporal Relations from Korean Text. Retrieved May 24, 2026, from https://4ort.xyz/entity/lstm-based-model-for-extracting-temporal-relations-from-korean-text
MLA “LSTM-Based Model for Extracting Temporal Relations from Korean Text.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/lstm-based-model-for-extracting-temporal-relations-from-korean-text.
BibTeX @misc{4ortxyz_lstm-based-model-for-extracting-temporal-relations-from-korean-text_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{LSTM-Based Model for Extracting Temporal Relations from Korean Text}}, year = {2026}, url = {https://4ort.xyz/entity/lstm-based-model-for-extracting-temporal-relations-from-korean-text}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): LSTM-Based Model for Extracting Temporal Relations from Korean Text — https://4ort.xyz/entity/lstm-based-model-for-extracting-temporal-relations-from-korean-text (retrieved 2026-05-24)

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