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Bio
His Natural language processing study frequently involves adjacent topics like Question answering and Parsing. While working in this field, he studies both Question answering and Artificial intelligence. Artificial intelligence is closely attributed to Mean reciprocal rank in his study. Massimiliano Ciaramita applies his multidisciplinary studies on Parsing and Natural language processing in his research. Massimiliano Ciaramita connects relevant research areas such as Feature (linguistics), Reciprocal and Word (group theory) in the realm of Linguistics. Massimiliano Ciaramita regularly links together related areas like Linguistics in his Feature (linguistics) studies. In his work, he performs multidisciplinary research in Information retrieval and Data mining. His work often combines Data mining and Information retrieval studies. As part of his studies on Paleontology, he often connects relevant areas like Context (archaeology).
Research Interests
Papers共 89 篇Author StatisticsCo-AuthorSimilar Experts
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ICML 2024 (2024)
Arash Amini,Massimiliano Ciaramita
arXiv (Cornell University) (2023)
CoRR (2023)
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CoRR (2023)
Diggelmann, Thomas; Boyd-Graber, Jordan; Bulian, Jannis; Ciaramita, Massimiliano; Leippold, Markus (2020). CLIMATE-FEVER: A Dataset for Verification of Real-World Climate Claims. In: Tackling Climate Change with Machine Learning workshop at NeurIPS 2020, Online, 11 December 2020 - 11 December 2020. (2020)
CoRR (2020)
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