An Approach to Collective Entity Linking
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Entity LinkingSimilar Papers 제목 키워드 기반
Neural Collective Entity Linking
2018-11-21 · COLING 2018 8
· Yixin Cao, Lei Hou, Juanzi Li, Zhiyuan Liu
Entity Linking aims to link entity mentions in texts to knowledge bases, and neural models have achieved recent success in this task. However, most existing methods rely on local contexts to resolve entities independentl…
Entity LinkingEfficient Collective Entity Linking with Stacking
2013-10-01 · EMNLP 2013 10
· Zhengyan He, Shujie Liu, Yang song, Mu Li 외
Entity LinkingLearning-To-RankMeta-Learning
Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All
2018-02-04
· Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han 외
Collective entity disambiguation aims to jointly resolve multiple mentions by linking them to their associated entities in a knowledge base. Previous works are primarily based on the underlying assumption that entities w…
AllDecision MakingEntity DisambiguationLanguage and Domain Independent Entity Linking with Quantified Collective Validation
2015-09-01 · EMNLP 2015 9
· Han Wang, Jin Guang Zheng, Xiaogang Ma, Peter Fox 외
Dependency ParsingEntity LinkingKnowledge Base PopulationNamed Entity Recognition (NER)+1
Learning Dynamic Context Augmentation for Global Entity Linking
2019-09-04 · IJCNLP 2019 11
· Xiyuan Yang, Xiaotao Gu, Sheng Lin, Siliang Tang 외
Despite of the recent success of collective entity linking (EL) methods, these "global" inference methods may yield sub-optimal results when the "all-mention coherence" assumption breaks, and often suffer from high compu…
Entity DisambiguationEntity LinkingReinforcement LearningReinforcement Learning (RL)