Ophthalmoscope 发表于 2025-3-28 14:48:26
http://reply.papertrans.cn/43/4237/423629/423629_41.pngHabituate 发表于 2025-3-28 20:16:04
http://reply.papertrans.cn/43/4237/423629/423629_42.pngRespond 发表于 2025-3-28 23:16:33
http://reply.papertrans.cn/43/4237/423629/423629_43.pngLASH 发表于 2025-3-29 06:50:27
Helmut Kauther,Ernst Pappermann been to study the utilization of such graph embeddings for the IR-centric task of entity ranking. In this work, we replicate the GEEER study of Gerritse et al. [.] which demonstrated improvements of Wiki2Vec embeddings on entity ranking tasks on the DBpediaV2 dataset. We further extend the study byHippocampus 发表于 2025-3-29 08:21:08
http://reply.papertrans.cn/43/4237/423629/423629_45.png珊瑚 发表于 2025-3-29 11:30:46
http://reply.papertrans.cn/43/4237/423629/423629_46.png裤子 发表于 2025-3-29 19:34:49
Günter Püttnervents and link documents with previously detected events. The detection has proven to perform rather poorly with traditional information retrieval approaches. We present an approach that formalizes temporal expressions and augments spatial terms with ontological information and uses this data in theSTING 发表于 2025-3-29 22:37:46
Gundolf Borknd well-established notions of relevance that are central to IR. In this paper, we use ., a recent approach used to analyze language models, to investigate the ranking abilities of BERT-based rankers. Most of the probing literature has focussed on linguistic and knowledge-aware capabilities of modelaneurysm 发表于 2025-3-30 01:03:41
http://reply.papertrans.cn/43/4237/423629/423629_49.png多节 发表于 2025-3-30 04:51:26
http://reply.papertrans.cn/43/4237/423629/423629_50.png