Advances in information retrieval collection on the European conference on information retrieval 2023

IF 1.7 3区 计算机科学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Information Retrieval Journal Pub Date : 2024-05-23 DOI:10.1007/s10791-024-09442-9
Jaap Kamps, Lorraine Goeuriot, Fabio Crestani
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Abstract

This paper introduces the Collection on ECIR 2023. The 45th European Conference on Information Retrieval (ECIR 2023) was held in Dublin, Ireland, during April 2–6, 2023. The conference was the largest ECIR ever, and brought together hundreds of researchers from Europe and abroad. A selection of papers shortlisted for the best paper awards was asked to submit expanded versions appearing in this Discover Computing (formerly the Information Retrieval Journal) Collection on ECIR 2023. First, an analytic paper on incorporating first stage retrieval status values as input in neural cross-encoder re-rankers. Second, new models and new data for a new task of temporal natural language inference. Third, a weak supervision approach to video retrieval overcoming the need for large-scale human labeled training data. Together, these papers showcase the breadth and diversity of current research on information retrieval.

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2023 年欧洲信息检索会议信息检索进展集
本文介绍《ECIR 2023 文集》。第 45 届欧洲信息检索大会(ECIR 2023)于 2023 年 4 月 2 日至 6 日在爱尔兰都柏林举行。这是 ECIR 有史以来规模最大的一次会议,汇集了来自欧洲和国外的数百名研究人员。入围最佳论文奖的部分论文应邀提交了扩充版,刊登在本期《发现计算》(Discover Computing)(前身为《信息检索期刊》)关于 ECIR 2023 的论文集中。第一,关于将第一阶段检索状态值作为神经交叉编码器重新排序器输入的分析论文。第二,关于时态自然语言推理新任务的新模型和新数据。第三,视频检索的弱监督方法克服了对大规模人类标注训练数据的需求。这些论文共同展示了当前信息检索研究的广度和多样性。
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来源期刊
Information Retrieval Journal
Information Retrieval Journal 工程技术-计算机:信息系统
CiteScore
6.20
自引率
0.00%
发文量
17
审稿时长
13.5 months
期刊介绍: The journal provides an international forum for the publication of theory, algorithms, analysis and experiments across the broad area of information retrieval. Topics of interest include search, indexing, analysis, and evaluation for applications such as the web, social and streaming media, recommender systems, and text archives. This includes research on human factors in search, bridging artificial intelligence and information retrieval, and domain-specific search applications.
期刊最新文献
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