Titlebook: Experimental IR Meets Multilinguality, Multimodality, and Interaction; 14th International C Avi Arampatzis,Evangelos Kanoulas,Nicola Ferro

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Cross-Lingual Candidate Retrieval and?Re-ranking for?Biomedical Entity Linking cross-encoder. We evaluate our system on the .?shared task dataset of the 10. . challenge..Our results show that supervised re-ranking outperforms the previously best-performing rule-based system, while requiring much less task-specific hyperparameter tuning. Detailed ablation experiments demonstra

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Humour Translation with?Transformersed to translate the entire phrase containing the wordplay. Sequence to sequence translation models are used to solve this task. The team has adopted different strategies for each task as they suited to the requirements therein. The paper reports proposed solutions, implementation details, experiment

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Touché 2022 Best of?Labs: Neural Image Retrieval for?Argumentatione models can convincingly beat a random baseline. Therefore, we conduct a thorough error analysis to understand the inherent challenges of image stance detection and provide insight into potential new approaches to this task.

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https://doi.org/10.1007/978-3-031-42448-9artificial intelligence; computational linguistics; information retrieval; engineering; linguistics; Info

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Elizabeth Mazzio,Karam F. A. Soliman across multiple collections. In the first case, the evaluation environment (test collection and evaluation metrics) stays the same, while the environment changes, in the second case. Different evaluation environments may be seen, in fact, as evolutionary versions of some given evaluation environmen