ScholarGate
Msaidizi
Machine learningDeep learning / NLP / CV

Ufupishaji wa Maandishi Multimodal

Ufupishaji wa maandishi multimodal huzalisha muhtasari mfupi wa maandishi kwa kuchakata pamoja mitindo mingi ya pembejeo — kwa kawaida maandishi na picha, lakini pia fremu za video au sauti — kwa kutumia miundo ya kina ya akili bandia inayolinganisha uwakilishi wa kuona na lugha. Matokeo yake ni muhtasari wa lugha asilia unaonasa maudhui muhimu kutoka kwa mitindo yote inayopatikana.

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Method map

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Vyanzo

  1. Zhu, J., Li, H., Liu, T., Zhou, Y., Zhang, J., & Zong, C. (2018). MSMO: Multimodal Summarization with Multimodal Output. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP), 4154–4164. link
  2. Zhu, J., Zhou, Y., Zhang, J., Li, H., Zong, C., & Li, C. (2020). Multimodal Summarization with Guidance of Multimodal Reference. Proceedings of the AAAI Conference on Artificial Intelligence, 34(05), 9749–9756. link

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Multimodal Text Summarization (Cross-Modal Abstractive and Extractive Summarization). ScholarGate. https://scholargate.app/sw/deep-learning/multimodal-text-summarization

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Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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Imerejelewa na

ScholarGateMultimodal Text Summarization (Multimodal Text Summarization (Cross-Modal Abstractive and Extractive Summarization)). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/deep-learning/multimodal-text-summarization · Seti ya data: https://doi.org/10.5281/zenodo.20539026