VER
发表于 2025-3-21 19:55:18
书目名称Investigations in Entity Relationship Extraction影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0474799<br><br> <br><br>书目名称Investigations in Entity Relationship Extraction影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0474799<br><br> <br><br>书目名称Investigations in Entity Relationship Extraction网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0474799<br><br> <br><br>书目名称Investigations in Entity Relationship Extraction网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0474799<br><br> <br><br>书目名称Investigations in Entity Relationship Extraction被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0474799<br><br> <br><br>书目名称Investigations in Entity Relationship Extraction被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0474799<br><br> <br><br>书目名称Investigations in Entity Relationship Extraction年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0474799<br><br> <br><br>书目名称Investigations in Entity Relationship Extraction年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0474799<br><br> <br><br>书目名称Investigations in Entity Relationship Extraction读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0474799<br><br> <br><br>书目名称Investigations in Entity Relationship Extraction读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0474799<br><br> <br><br>
贵族
发表于 2025-3-21 23:49:15
Book 2023g deep neural models. Two important focus areas of the book are – i) joint extraction techniques where the tasks of entity and relation extraction are jointly solved, and ii) extraction of complex relations where relation types can be N-ary and cross-sentence. The first part of the book introduces t
Robust
发表于 2025-3-22 01:58:57
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音乐戏剧
发表于 2025-3-22 05:06:46
Introduction,With the advent of the Internet, a large amount of digital text is generated every day, such as news articles, research publications, blogs, social media, and question answering forums.
同谋
发表于 2025-3-22 12:48:13
Literature Survey,In this chapter, we describe some of the relevant past literature on Relation Extraction.
喃喃诉苦
发表于 2025-3-22 14:32:02
Joint Inference for End-to-end Relation Extraction,As discussed in the previous chapter, better performance for end-to-end relation extraction is achieved when the extraction of entities and relations is carried out jointly.
耐寒
发表于 2025-3-22 17:19:16
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使入迷
发表于 2025-3-22 22:56:06
Recent Advances in Entity and Relation Extraction,In this chapter, we describe a few recent advances in joint entity and relation extraction as well as N-ary cross-sentence relation extraction.
重力
发表于 2025-3-23 03:56:48
Conclusions,This monograph investigated two crucial problems in relation extraction: (i) end-to-end relation extraction involving joint extraction of entities and relations, and (ii) N-ary cross-sentence relation extraction.
SOW
发表于 2025-3-23 07:35:47
https://doi.org/10.1007/978-981-19-5391-0Natural Language Processing; Entity Relationship Extraction; Artificial Intelligence; Complex Relation