Titlebook: Advances in Information Retrieval; 45th European Confer Jaap Kamps,Lorraine Goeuriot,Annalina Caputo Conference proceedings 2023 The Editor

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https://doi.org/10.1007/978-3-642-78294-7d model learning costs remain major challenges for the creation of models supporting multilingual check-worthiness detection..This paper proposes cross-training adapters on a subset of world languages, combined by adapter fusion, to detect claims emerging globally in multiple languages. (1) With a v

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Alfred P. Fishman,Dickinson W. Richardsr, many small businesses struggle to apply state-of-the-art models due to their very limited availability of data. We propose a graph-based recommender model which utilizes heterogeneous interactions between users and content of different types and is able to operate well on small-scale datasets. A

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Alfred P. Fishman,Dickinson W. Richards, Query Performance Prediction (QPP) models have been developed to estimate the performance of a system without the need for human-made relevance judgements. Such models, usually relying on lexical features from queries and corpora, have been applied to traditional sparse IR methods – with various d

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Muscle Function During Locomotion in Mammalser-item interactions as the edges of a bipartite graph. However, in the absence of ., the majority of existing models adopt an approach of randomly initialising the user embeddings and optimising them throughout the training process. This strategy makes these algorithms inherently ., curtailing thei

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Circulation, Respiration, and Metabolisming a given passage and a question. Recent studies dedicate to catching the relationships within the triplet of passage, question, and option. Nevertheless, one limitation in current approaches relates to the fact that confusing distractors are often mistakenly judged as correct, due to the fact tha