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Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations.

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Identifying complaints based on semi-supervised mincuts., , , and . Expert Syst. Appl., (2021)Multi-Modal Summary Generation using Multi-Objective Optimization., , , and . SIGIR, page 1745-1748. ACM, (2020)Topic-aware Multimodal Summarization., , , and . AACL/IJCNLP (Findings), page 387-398. Association for Computational Linguistics, (2022)Multi-Modal Supplementary-Complementary Summarization using Multi-Objective Optimization., , , and . SIGIR, page 818-828. ACM, (2021)Text-Image-Video Summary Generation Using Joint Integer Linear Programming., , , and . ECIR (2), volume 12036 of Lecture Notes in Computer Science, page 190-198. Springer, (2020)Navigating the Landscape of Hint Generation Research: From the Past to the Future., , , and . CoRR, (2024)TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions., , and . SIGIR, page 2060-2070. ACM, (2024)Large Scale Multi-Lingual Multi-Modal Summarization Dataset., , , and . EACL, page 3602-3614. Association for Computational Linguistics, (2023)Semantic Extractor-Paraphraser based Abstractive Summarization., , , , and . CoRR, (2021)Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations., , , , , , and . ACM Multimedia, page 4406-4415. ACM, (2022)