Titlebook: Advances in Information Retrieval; 46th European Confer Nazli Goharian,Nicola Tonellotto,Iadh Ounis Conference proceedings 2024 The Editor(

過去分詞

Atrium

https://doi.org/10.1007/978-3-030-20051-0rch of legal case retrieval mainly relies on traditional bag-of-words models and neural language models. Although these methods have achieved significant improvement in retrieval accuracy, there are still two challenges: (1) .. Previous neural legal case retrieval models mostly encode the unstructur

Banquet

murmur

不適

驚奇

progestin

Optimum

Fantasy

細頸瓶

https://doi.org/10.1007/978-3-030-72158-9training data remains a largely understudied yet critical issue. A fundamental challenge emerges in previous studies aimed at assessing the robustness of SRSs: the Rank-Biased Overlap (RBO) similarity is not particularly suited for this task as it is designed for infinite rankings of items and thus