dejected
发表于 2025-3-21 17:58:03
书目名称Web and Big Data影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK1021658<br><br> <br><br>书目名称Web and Big Data影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK1021658<br><br> <br><br>书目名称Web and Big Data网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK1021658<br><br> <br><br>书目名称Web and Big Data网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK1021658<br><br> <br><br>书目名称Web and Big Data被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK1021658<br><br> <br><br>书目名称Web and Big Data被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK1021658<br><br> <br><br>书目名称Web and Big Data年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK1021658<br><br> <br><br>书目名称Web and Big Data年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK1021658<br><br> <br><br>书目名称Web and Big Data读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK1021658<br><br> <br><br>书目名称Web and Big Data读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK1021658<br><br> <br><br>
护身符
发表于 2025-3-21 22:00:56
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摊位
发表于 2025-3-22 04:20:54
CeER: A Nested Name Entity Recognition Model Incorporating Gaze Featuretask, human annotators still have strength in recognition of complex structures and professional fields. In this work, we propose a Cognition-enhancing Entity Recognition model (CeER), which introduces cognition-based data to improve the performance of nested name entity recognition. Specifically, w
Autobiography
发表于 2025-3-22 07:40:04
A Boundary Feature Enhanced Span-Based Nested Named Entity Recognition Methodes and show poor performance in recognizing Nested Named Entities (NNEs). Towards Nested Named Entity Recognition (NNER), span-based methods, as a mainstream, have been proposed recently. The effectiveness of identifying entity span, which can be regarded as sub-sequences of a sentence, directly aff
Implicit
发表于 2025-3-22 11:52:02
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DRILL
发表于 2025-3-22 13:28:34
Enhancing NER with Sentence-Level Entity Detection as an Simple Auxiliary Taskver, NER models are traditionally reliant on extensive manual annotations, which is both laborious and costly. To address this challenge, we propose a simple yet effective multi-task learning framework that requires no additional labeling efforts. Our approach leverages the observation that nearly 3
Omniscient
发表于 2025-3-22 17:19:34
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Myocyte
发表于 2025-3-22 22:57:56
CeER: A Nested Name Entity Recognition Model Incorporating Gaze Featuretask, human annotators still have strength in recognition of complex structures and professional fields. In this work, we propose a Cognition-enhancing Entity Recognition model (CeER), which introduces cognition-based data to improve the performance of nested name entity recognition. Specifically, w
牌带来
发表于 2025-3-23 04:56:42
External Knowledge Enhancing Meta-learning Framework for Few-Shot Text Classification via Contrastivrototypical networks and so on. The primary mission of few-shot text classification is to learn a high-quality embedding representation for each class. However, due to the randomness in sample sampling, the representations of class prototypes often tend to be unstable. This paper proposes the SCLAWM
insipid
发表于 2025-3-23 08:04:23
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