http://dbgroup.cs.tsinghua.edu.cn/wangjy/papers/TKDE14-entitylinking.pdf
Knowledge-Enhanced Graph Neural Networks for …
WebSep 26, 2024 · Entity Linking Meets Deep Learning: Techniques and Solutions Wei Shen, Yuhan Li, Yinan Liu, Jiawei Han, Jianyong Wang, Xiaojie Yuan Entity linking (EL) is the process of linking entity mentions appearing in web text with their corresponding entities in a knowledge base. WebFew-shot sequence labeling is a general problem formulation for many natural language understanding tasks in data-scarcity scenarios, which require models to generalize to new types via only a few labeled examples. Recent advances mostly adopt metric-based meta-learning and thus face the challenges of modeling the miscellaneous Other prototype and … reddick to ocala
GFE: General Knowledge Enhanced Framework for Explainable Sequential …
WebApr 14, 2024 · In this paper, we propose a Knowledge graph enhanced Recommendation with Context awareness and Contrastive learning (KRec-C2) to overcome the issue. Specifically, we design an category-level ... WebIt is vital for sequential recommendation to provide accurate and explainable results for user, which can help them make better decisions. In this paper, we develop a General Knowledge Enhanced Framework for Explainable Sequential Recommendation (GFE) to capture user’s fine-grained preferences and dynamic preferences evolution. WebApr 14, 2024 · Conditional phrases provide fine-grained domain knowledge in various industries, including medicine, manufacturing, and others. Most existing knowledge extraction research focuses on mining triplets with entities and relations and treats that triplet knowledge as plain facts without considering the conditional modality of such … reddick twitter