標(biāo)題: Titlebook: Evaluating Information Retrieval and Access Tasks; NTCIR‘s Legacy of Re Tetsuya Sakai,Douglas W. Oard,Noriko Kando Book‘‘‘‘‘‘‘‘ 2021 The Ed [打印本頁] 作者: 連結(jié) 時間: 2025-3-21 16:19
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書目名稱Evaluating Information Retrieval and Access Tasks影響因子(影響力)學(xué)科排名
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書目名稱Evaluating Information Retrieval and Access Tasks網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Evaluating Information Retrieval and Access Tasks被引頻次
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書目名稱Evaluating Information Retrieval and Access Tasks讀者反饋
書目名稱Evaluating Information Retrieval and Access Tasks讀者反饋學(xué)科排名
作者: arrogant 時間: 2025-3-21 23:03 作者: 讓空氣進(jìn)入 時間: 2025-3-22 01:59 作者: Tonometry 時間: 2025-3-22 06:10
Economic, Social and Cultural Rights comparable corpora are helpful for comparing the performance of CLIR between pairs of CJK and English. This comparison leads to deeper insights into CLIR techniques. NTCIR CLIR tasks have been built on the basis of test collections that incorporate such comparable corpora. We summarize the technica作者: Androgen 時間: 2025-3-22 09:29 作者: 察覺 時間: 2025-3-22 15:57 作者: 察覺 時間: 2025-3-22 19:21 作者: larder 時間: 2025-3-22 21:56
The Demise of Laws in Economics,mathematical content with formula expressions. In this chapter, we first summarize the task design and introduce test collections generated in the tasks. We also describe the features and main challenges of mathematical information retrieval systems and discuss future perspectives in the field.作者: GRAIN 時間: 2025-3-23 01:55 作者: deadlock 時間: 2025-3-23 06:57
Mathematical Information Retrieval,mathematical content with formula expressions. In this chapter, we first summarize the task design and introduce test collections generated in the tasks. We also describe the features and main challenges of mathematical information retrieval systems and discuss future perspectives in the field.作者: MURAL 時間: 2025-3-23 11:04 作者: ineffectual 時間: 2025-3-23 17:26 作者: 極微小 時間: 2025-3-23 21:20
https://doi.org/10.1007/978-94-017-7294-5Looking back over the storied history of NTCIR that is recounted in this volume, we can see many impactful contributions. As we look at the future, we might then ask what points of continuity and change we might reasonably anticipate. Beginning that discussion is the focus of this chapter.作者: debase 時間: 2025-3-23 23:20
Temporal Information Access,This chapter introduces the research background and details of temporal information access?tasks in the NTCIR. The GeoTime task was the first attempt to evaluate temporal information retrieval?as an extension of an information-retrieval-for-question-answering task. Temporalia was a task to investigate the role of temporal factors in a search.作者: CHASM 時間: 2025-3-24 05:08 作者: 懸崖 時間: 2025-3-24 09:07 作者: 思想 時間: 2025-3-24 10:52
The Information Retrieval Serieshttp://image.papertrans.cn/e/image/317222.jpg作者: Arrhythmia 時間: 2025-3-24 17:57 作者: 共和國 時間: 2025-3-24 21:41 作者: Meditate 時間: 2025-3-25 00:05
Kiyoshi Abe,William Gunther,Harold Seeections from 1998 already featured . and . documents. In this chapter, I provide a survey on the use of graded relevance assessments and of graded relevance measures in the past NTCIR tasks which primarily tackled ranked retrieval. My survey shows that the majority of the past tasks fully utilised g作者: 爭吵加 時間: 2025-3-25 07:14 作者: laxative 時間: 2025-3-25 10:47 作者: 蒼白 時間: 2025-3-25 14:59
Wojciech Lorenc,Tomasz Ko?akowski Dipl. Ing.professional patent searchers and used large numbers of patent documents. This chapter describes the designs of the tasks, the details of the test collections, and the challenges addressed in the research field of patent information retrieval.作者: condemn 時間: 2025-3-25 17:20 作者: 他一致 時間: 2025-3-25 23:37 作者: 平 時間: 2025-3-26 03:48 作者: 廚師 時間: 2025-3-26 05:47
Economics as a Postmodern Discourse, and has became a fundamental part of QA system development, especially for difficult real-world datasets which require a multi-strategy, multi-component approach. We summarize the history of component evaluation for QA and describe more recent work at Carnegie Mellon (on TREC Genomics, BioASQ, and 作者: 流浪 時間: 2025-3-26 09:18 作者: 彎彎曲曲 時間: 2025-3-26 14:04
Michael C. Jensen,William H. Mecklings aimed to develop an IR system that outputs a short text summary for a given query, which is expected to fit a small screen and to satisfy users’ information needs without requiring much interaction. The textual output was evaluated on the basis of ., pieces of relevant text for a given query, with作者: coltish 時間: 2025-3-26 20:26 作者: HEDGE 時間: 2025-3-27 00:01 作者: gruelling 時間: 2025-3-27 02:34 作者: linear 時間: 2025-3-27 07:55
The viewing value of elephants,to lifelog retrieval. In this chapter, a motivation is given for the Lifelog task and a review of progress since NTCIR-12 is presented. Finally, the lessons learned and challenges within the domain of lifelog retrieval are presented.作者: 暴行 時間: 2025-3-27 12:06
,Experiments in Lifelog Organisation and?Retrieval at NTCIR,to lifelog retrieval. In this chapter, a motivation is given for the Lifelog task and a review of progress since NTCIR-12 is presented. Finally, the lessons learned and challenges within the domain of lifelog retrieval are presented.作者: entrance 時間: 2025-3-27 15:35 作者: Lignans 時間: 2025-3-27 19:18 作者: 是剝皮 時間: 2025-3-28 01:26
Component-Based Evaluation for Question Answering,ent approach. We summarize the history of component evaluation for QA and describe more recent work at Carnegie Mellon (on TREC Genomics, BioASQ, and LiveQA datasets) which has descended directly from our experiences in NTCIR.作者: Latency 時間: 2025-3-28 02:37 作者: 華而不實(shí) 時間: 2025-3-28 07:08
H. Geoffrey Brennan,A. M. C. Watermanations at NTCIR, including the sharing of research infrastructure, the progress of corpus-based machine translation technologies, and evaluation methods for patent translation. Finally, we outline the developments in machine translation technologies, including patent translation?and remark on the future of patent translation.作者: insecticide 時間: 2025-3-28 13:16 作者: 共棲 時間: 2025-3-28 15:28
Michael C. Jensen,William H. Meckling consideration of users’ reading behaviors. This chapter begins with an introduction to NTCIR 1CLICK and MobileClick, explains the evaluation methodology and metrics such as S-measure and M-measure, and finally discusses the potential impacts of those evaluation campaigns.作者: 熱心助人 時間: 2025-3-28 20:30 作者: Melodrama 時間: 2025-3-28 23:06
Patent Translation,ations at NTCIR, including the sharing of research infrastructure, the progress of corpus-based machine translation technologies, and evaluation methods for patent translation. Finally, we outline the developments in machine translation technologies, including patent translation?and remark on the future of patent translation.作者: Euphonious 時間: 2025-3-29 04:47
SogouQ: The First Large-Scale Test Collection with Click Streams Used in a Shared-Task Evaluation,IR-10 Intent-2, NTCIR-11 IMine, NTCIR-12 IMine-2, as well as in several Chinese domestic tasks. Moreover, SogouQ has a broader impact on other research areas, such as natural language processing and social science. It has been acquired by more than 200 institutions.作者: Ostrich 時間: 2025-3-29 09:45
,Evaluation of Information Access with?Smartphones, consideration of users’ reading behaviors. This chapter begins with an introduction to NTCIR 1CLICK and MobileClick, explains the evaluation methodology and metrics such as S-measure and M-measure, and finally discusses the potential impacts of those evaluation campaigns.作者: 交響樂 時間: 2025-3-29 13:15
1871-7500 over two decades.Highlights the practical impact of NTCIR co.This open access book summarizes the first two decades of the NII Testbeds and Community for Information access Research (NTCIR). NTCIR is a series of evaluation forums run by a global team of researchers and hosted by the National Institu作者: 作繭自縛 時間: 2025-3-29 18:24
https://doi.org/10.1007/978-1-4020-9960-1ion by researchers in the field and to clarify the issues of evaluation measures for summarization of Japanese texts. After that, TSC has been held every 18 months as a part of the NTCIR project. In this chapter, we describe our TSC series, the data used, and the evaluation methods for each task, and the features of TSC evaluation.作者: Gourmet 時間: 2025-3-29 22:49 作者: macabre 時間: 2025-3-30 03:10 作者: Astigmatism 時間: 2025-3-30 06:11
Graded Relevance,ections from 1998 already featured . and . documents. In this chapter, I provide a survey on the use of graded relevance assessments and of graded relevance measures in the past NTCIR tasks which primarily tackled ranked retrieval. My survey shows that the majority of the past tasks fully utilised g作者: 明確 時間: 2025-3-30 09:43
Experiments on Cross-Language Information Retrieval Using Comparable Corpora of Chinese, Japanese, Information Retrieval/NII Testbeds and Community for Information access Research (NTCIR)-1 to NTCIR-6 evaluation cycles, which mainly focused on Chinese, Japanese, and Korean (CJK) languages. First, general procedures and techniques of CLIR are briefly reviewed. Second, document collections that we作者: Hay-Fever 時間: 2025-3-30 14:54
Text Summarization Challenge: An Evaluation Program for Text Summarization,IR (NII-NACSIS Test Collection for IR Systems) Workshop. The purpose of the workshop was to facilitate collecting and sharing text data for summarization by researchers in the field and to clarify the issues of evaluation measures for summarization of Japanese texts. After that, TSC has been held ev作者: 該得 時間: 2025-3-30 19:14
Challenges in Patent Information Retrieval,professional patent searchers and used large numbers of patent documents. This chapter describes the designs of the tasks, the details of the test collections, and the challenges addressed in the research field of patent information retrieval.作者: 大罵 時間: 2025-3-30 23:49
Multi-modal Summarization,nformative graphics. These summarizations have two roles. One is to assist the users to review and understand their topics of interest. The other is to guide users both visually and verbally in their exploratory search. To establish this technology, it was necessary to integrate several research str作者: 眉毛 時間: 2025-3-31 01:03
Opinion Analysis Corpora Across Languages,ask that compared the performance of sentiment retrieval strategies with common subtasks across languages. In this paper, we introduce the research question posed by . and present what has been achieved to date. We then describe the types of tasks and research that have involved our test collection