metabolism
发表于 2025-3-21 19:20:28
http://figure.impactfactor.cn/if/?ISSN=BK0321283http://figure.impactfactor.cn/ifr/?ISSN=BK0321283http://figure.impactfactor.cn/at/?ISSN=BK0321283http://figure.impactfactor.cn/atr/?ISSN=BK0321283http://figure.impactfactor.cn/tc/?ISSN=BK0321283http://figure.impactfactor.cn/tcr/?ISSN=BK0321283http://figure.impactfactor.cn/ii/?ISSN=BK0321283http://figure.impactfactor.cn/iir/?ISSN=BK0321283http://figure.impactfactor.cn/5y/?ISSN=BK0321283http://figure.impactfactor.cn/5yr/?ISSN=BK0321283
易于
发表于 2025-3-22 00:19:17
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整体
发表于 2025-3-22 03:46:42
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modest
发表于 2025-3-22 04:50:31
Business Document Information Extraction: Towards Practical Benchmarksical aspects missing in the common definitions and define the . (KILE) and . (LIR) problems. There is a lack of relevant datasets and benchmarks for Document IE on semi-structured business documents as their content is typically legally protected or sensitive. We discuss potential sources of available documents including synthetic data.
强壮
发表于 2025-3-22 11:53:08
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防止
发表于 2025-3-22 14:54:26
Langenbecks Archiv für Chirurgiemerging trends observed from the analysis of data gathered before and after the extensive online experience and how these will guide the design of functionality of a search companion for the classroom.
防止
发表于 2025-3-22 19:44:07
The Effect of Prolonged Exposure to Online Education on a Classroom Search Companionmerging trends observed from the analysis of data gathered before and after the extensive online experience and how these will guide the design of functionality of a search companion for the classroom.
尖牙
发表于 2025-3-23 00:29:14
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enhance
发表于 2025-3-23 02:56:08
Current State of Affairs: Economic Impact,ing off-topic). To analyze whether these changes may have contributed to the observed effectiveness drop, we conduct experiments with different document version selection strategies. Our results show that training a retrieval model on the “wrong” version can reduce the nDCG@10 by up to 75%.
fiction
发表于 2025-3-23 08:03:11
https://doi.org/10.1007/978-3-663-20493-0p, we examined two models: DistilBERT and an ensemble learning approach using stacking of SVM and DistilBERT. We compare the results of both models using two argumentation corpora on the level of argument identification task, and further using the dataset of CLEF 2021 Touché Lab shared task 2 on the level of answering comparative questions.