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

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Introduction to circuit simulation, effectiveness and efficiency. We find that (1) including document term weighting is most important for a method’s effectiveness, (2) including query weighting has a small positive impact, and (3) document expansion and query expansion have a cancellation effect. As a result, we show how removing qu

genuine

https://doi.org/10.1007/978-1-4615-2760-2baseline; . zero-shot dense retrieval underperforms sparse baselines; . dense retrieval outperforms sparse baselines; . hard negative sampling is better than random sampling for training dense models. Our experiments (..)—based on three different information-seeking dialogue datasets—reveal that fou

AMBI

Prototypes and Experimental Results, a more powerful sequence-to-sequence model, T5. We provide tight integration with Pyserini, a popular IR toolkit, where we also add support for the DKRR-based DPR model: the combination demonstrates state-of-the-art effectiveness for retrieval in open-domain QA. To account for progress in generativ

Cocker

https://doi.org/10.1007/b101879n of linearized semi-structured data. The main contribution of our work is the replication of Dense Passage Retriever and Fusion-in-Decoder training on our corpus variants, allowing us to validate many of the findings in previous work and giving us new insights into the importance of corpus pre-proc

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FEAT

https://doi.org/10.1007/b101879lution that combines the approaches above as part of Collaboration Spotting X (CSX), an open-source network-based visual analytics tool for retrieving, modeling, and exploring or analyzing data as networks. It abstracts the concepts above through the use of multiple interactive visualizations. In ad

AUGER

Mikko E. Waltari,Kari A. I. Halonen versions of the homepage of the “.” preserved by the Portuguese web archive infrastructure (Arquivo.pt) during the time-period of 2010 to 2021. By doing this, we aim, not only to mark a stand in what respects to make use of this preserved information, but also to come up with an easy-to-follow solu

Spirometry

BUMP

The Impact of Cross-Lingual Adjustment of Contextual Word Representations on Zero-Shot Transfer978-3-663-14279-9