Retrieval Evaluation(检索评估)研究综述
Retrieval Evaluation 检索评估 - This report gives an overview on the Forum for Information Retrieval Evaluation (FIRE) initiative for South-Asian languages1. [1] The effectiveness of these systems varies and is only known through retrieval evaluation and the main approach of evaluating these systems is the test collection model which comprises of a corpus of documents, topics and relevance judgments. [2] In this research work, we propose and construct a standard test collection of Urdu documents for IR evaluation and named it Collection for Urdu Retrieval Evaluation (CURE). [3] Experimental analysis using Music Information Retrieval Evaluation Exchange (MIREX) datasets show that based on human auditory effect achieve great results for multimedia audio signals and has more robust performance on complicated scene. [4] This system’s collection has been tested and evaluated by COVID-19 Malay Corpus documents, stopwords list, Malay root words, terms weighting, indexing result, Malay natural language query list, relevant judgment list, relevant queries feedback, and retrieval evaluation by using precision and recall. [5] We examine the “goodness” of ranked retrieval evaluation measures in terms of how well they align with users’ Search Engine Result Page (SERP) preferences for web search. [6] In particular, fine-tuning pretrained contextual language models has shown impressive results in recent biomedical retrieval evaluation campaigns. [7] With the aim of bridging this gap, in this paper, we developed REGIS (Retrieval Evaluation for Geoscientific Information Systems), a test collection for the geoscientific domain in Portuguese. [8] As part of the Ed4 retrieval evaluation, the average properties are compared with those from other algorithms and the differences between individual reference data and matched Ed4 retrievals are explored. [9] Empirically, we demonstrate that the proposed method achieves up to 50%-100% reduction in the Mean Squared Error for the graph similarity approximation task and up to 20% improvement in the retrieval evaluation metrics for the graph retrieval task. [10] Experimental analysis using Music Information Retrieval Evaluation Exchange (MIREX) datasets shows that our technique achieves promising results both for audio melody extraction and polyphonic singing transcription. [11] Some of frameworks proposed to identify cover songs were evaluated through the Music Information Retrieval Evaluation eXchange (MIREX) competition that aims to assess algorithms for MIR tasks. [12] Experiments comparing the proposed technique to similar works were carried out on the TREC Video Retrieval Evaluation (TRECVID) 2003 database. [13] Additionally, we provide a prototype implementation of our theoretical framework as an embedded domain-specific language in Haskell and conduct a meta-analysis on several algorithms submitted to a pattern extraction task of the the Music Information Retrieval Evaluation eXchange (MIREX) over the previous years. [14] In addition, we take a look at the results from the annual benchmark evaluation—Music Information Retrieval Evaluation eXchange—as well as the developments in software implementations. [15] We found that query refinement strategies produced queries that were more effective than the original in terms of six information retrieval evaluation measures. [16] Thus it is very well suited for video retrieval evaluations as well as for participants of TRECVID AVS or the VBS. [17] 1 The school was co-organized by Kazan Federal University2 and the Russian Information Retrieval Evaluation Seminar (ROMIP). [18] This chapter gives an overview of domain-specific image retrieval evaluation approaches, which were part of the ImageCLEF evaluation campaign. [19] The Cranfield paradigm has dominated information retrieval evaluation for almost 50 years. [20] This paper describes the steps that led to the invention, design and development of the Distributed Information Retrieval Evaluation Campaign Tool (DIRECT) system for managing and accessing the data used and produced within experimental evaluation in Information Retrieval (IR). [21] In information retrieval evaluation, pooling is a well‐known technique to extract a sample of documents to be assessed for relevance. [22] Since 2016, the TREC Video Retrieval Evaluation (TRECVID) Instance Search (INS) task has started to focus on identifying a target person in a target scene simultaneously. [23] The results from the annual benchmark evaluation— Music Information Retrieval Evaluation eXchange, as well as the developments in software implementations are also presented. [24]本报告概述了针对南亚语言的信息检索评估论坛 (FIRE) 倡议1。 [1] 这些系统的有效性各不相同，只有通过检索评估才能知道，评估这些系统的主要方法是测试集合模型，该模型由文档、主题和相关性判断组成。 [2] 在这项研究工作中，我们提出并构建了一个用于 IR 评估的标准乌尔都语文档测试集合，并将其命名为乌尔都语检索评估集合 (CURE)。 [3] 使用音乐信息检索评估交换（MIREX）数据集的实验分析表明，基于人类听觉效果的多媒体音频信号取得了很好的效果，并且在复杂场景下具有更强大的性能。 [4] 该系统的集合已通过 COVID-19 马来语语料库文档、停用词列表、马来语词根、术语加权、索引结果、马来语自然语言查询列表、相关判断列表、相关查询反馈和检索评估测试和评估，使用精度和记起。 [5] 我们根据用户的搜索引擎结果页面 (SERP) 偏好与网络搜索的匹配程度来检查排名检索评估度量的“优点”。 [6] 特别是，微调预训练的上下文语言模型在最近的生物医学检索评估活动中显示出令人印象深刻的结果。 [7] 为了弥合这一差距，在本文中，我们开发了 REGIS（地球科学信息系统检索评估），这是葡萄牙语地球科学领域的测试集合。 [8] 作为 Ed4 检索评估的一部分，将平均属性与其他算法的属性进行比较，并探索单个参考数据与匹配的 Ed4 检索之间的差异。 [9] 根据经验，我们证明了所提出的方法在图相似性逼近任务中实现了高达 50%-100% 的均方误差降低，并且在图检索任务的检索评估指标方面实现了高达 20% 的改进。 [10] 使用音乐信息检索评估交换 (MIREX) 数据集的实验分析表明，我们的技术在音频旋律提取和复音歌唱转录方面都取得了可喜的结果。 [11] 一些用于识别翻唱歌曲的框架是通过旨在评估 MIR 任务算法的音乐信息检索评估交换 (MIREX) 竞赛进行评估的。 [12] 在 TREC 视频检索评估 (TRECVID) 2003 数据库上进行了将提议的技术与类似工作进行比较的实验。 [13] nan [14] nan [15] nan [16] nan [17] nan [18] nan [19] nan [20] nan [21] nan [22] nan [23] nan [24]
Information Retrieval Evaluation
This report gives an overview on the Forum for Information Retrieval Evaluation (FIRE) initiative for South-Asian languages1. [1] Experimental analysis using Music Information Retrieval Evaluation Exchange (MIREX) datasets show that based on human auditory effect achieve great results for multimedia audio signals and has more robust performance on complicated scene. [2] Experimental analysis using Music Information Retrieval Evaluation Exchange (MIREX) datasets shows that our technique achieves promising results both for audio melody extraction and polyphonic singing transcription. [3] Some of frameworks proposed to identify cover songs were evaluated through the Music Information Retrieval Evaluation eXchange (MIREX) competition that aims to assess algorithms for MIR tasks. [4] Additionally, we provide a prototype implementation of our theoretical framework as an embedded domain-specific language in Haskell and conduct a meta-analysis on several algorithms submitted to a pattern extraction task of the the Music Information Retrieval Evaluation eXchange (MIREX) over the previous years. [5] In addition, we take a look at the results from the annual benchmark evaluation—Music Information Retrieval Evaluation eXchange—as well as the developments in software implementations. [6] We found that query refinement strategies produced queries that were more effective than the original in terms of six information retrieval evaluation measures. [7] 1 The school was co-organized by Kazan Federal University2 and the Russian Information Retrieval Evaluation Seminar (ROMIP). [8] The Cranfield paradigm has dominated information retrieval evaluation for almost 50 years. [9] This paper describes the steps that led to the invention, design and development of the Distributed Information Retrieval Evaluation Campaign Tool (DIRECT) system for managing and accessing the data used and produced within experimental evaluation in Information Retrieval (IR). [10] In information retrieval evaluation, pooling is a well‐known technique to extract a sample of documents to be assessed for relevance. [11] The results from the annual benchmark evaluation— Music Information Retrieval Evaluation eXchange, as well as the developments in software implementations are also presented. [12]本报告概述了针对南亚语言的信息检索评估论坛 (FIRE) 倡议1。 [1] 使用音乐信息检索评估交换（MIREX）数据集的实验分析表明，基于人类听觉效果的多媒体音频信号取得了很好的效果，并且在复杂场景下具有更强大的性能。 [2] 使用音乐信息检索评估交换 (MIREX) 数据集的实验分析表明，我们的技术在音频旋律提取和复音歌唱转录方面都取得了可喜的结果。 [3] 一些用于识别翻唱歌曲的框架是通过旨在评估 MIR 任务算法的音乐信息检索评估交换 (MIREX) 竞赛进行评估的。 [4] nan [5] nan [6] nan [7] nan [8] nan [9] nan [10] nan [11] nan [12]
Video Retrieval Evaluation
Experiments comparing the proposed technique to similar works were carried out on the TREC Video Retrieval Evaluation (TRECVID) 2003 database. [1] Thus it is very well suited for video retrieval evaluations as well as for participants of TRECVID AVS or the VBS. [2] Since 2016, the TREC Video Retrieval Evaluation (TRECVID) Instance Search (INS) task has started to focus on identifying a target person in a target scene simultaneously. [3]在 TREC 视频检索评估 (TRECVID) 2003 数据库上进行了将提议的技术与类似工作进行比较的实验。 [1] nan [2] nan [3]
retrieval evaluation exchange
Experimental analysis using Music Information Retrieval Evaluation Exchange (MIREX) datasets show that based on human auditory effect achieve great results for multimedia audio signals and has more robust performance on complicated scene. [1] Experimental analysis using Music Information Retrieval Evaluation Exchange (MIREX) datasets shows that our technique achieves promising results both for audio melody extraction and polyphonic singing transcription. [2] Some of frameworks proposed to identify cover songs were evaluated through the Music Information Retrieval Evaluation eXchange (MIREX) competition that aims to assess algorithms for MIR tasks. [3] Additionally, we provide a prototype implementation of our theoretical framework as an embedded domain-specific language in Haskell and conduct a meta-analysis on several algorithms submitted to a pattern extraction task of the the Music Information Retrieval Evaluation eXchange (MIREX) over the previous years. [4] In addition, we take a look at the results from the annual benchmark evaluation—Music Information Retrieval Evaluation eXchange—as well as the developments in software implementations. [5] The results from the annual benchmark evaluation— Music Information Retrieval Evaluation eXchange, as well as the developments in software implementations are also presented. [6]使用音乐信息检索评估交换（MIREX）数据集的实验分析表明，基于人类听觉效果的多媒体音频信号取得了很好的效果，并且在复杂场景下具有更强大的性能。 [1] 使用音乐信息检索评估交换 (MIREX) 数据集的实验分析表明，我们的技术在音频旋律提取和复音歌唱转录方面都取得了可喜的结果。 [2] 一些用于识别翻唱歌曲的框架是通过旨在评估 MIR 任务算法的音乐信息检索评估交换 (MIREX) 竞赛进行评估的。 [3] nan [4] nan [5] nan [6]
retrieval evaluation measure
We examine the “goodness” of ranked retrieval evaluation measures in terms of how well they align with users’ Search Engine Result Page (SERP) preferences for web search. [1] We found that query refinement strategies produced queries that were more effective than the original in terms of six information retrieval evaluation measures. [2]我们根据用户的搜索引擎结果页面 (SERP) 偏好与网络搜索的匹配程度来检查排名检索评估度量的“优点”。 [1] nan [2]
retrieval evaluation campaign
In particular, fine-tuning pretrained contextual language models has shown impressive results in recent biomedical retrieval evaluation campaigns. [1] This paper describes the steps that led to the invention, design and development of the Distributed Information Retrieval Evaluation Campaign Tool (DIRECT) system for managing and accessing the data used and produced within experimental evaluation in Information Retrieval (IR). [2]特别是，微调预训练的上下文语言模型在最近的生物医学检索评估活动中显示出令人印象深刻的结果。 [1] nan [2]