반응형 분류 전체보기599 [2023-02-08] 오늘의 자연어처리 Controllable Lexical Simplification for English Fine-tuning Transformer-based approaches have recently shown exciting results on sentence simplification task. However, so far, no research has applied similar approaches to the Lexical Simplification (LS) task. In this paper, we present ConLS, a Controllable Lexical Simplification system fine-tuned with T5 (a Transformer-based model pre-trained wi.. 2023. 2. 8. [2023-02-07] 오늘의 자연어처리 Generalizing to Unseen Elements: A Survey on Knowledge Extrapolation for Knowledge Graphs Knowledge graphs (KGs) have become effective knowledge resources in diverse applications, and knowledge graph embedding (KGE) methods have attracted increasing attention in recent years. However, it's still challenging for conventional KGE methods to handle unseen entities or relations during the model test.. 2023. 2. 7. [2023-02-06] 오늘의 자연어처리 Unsupervised Entity Alignment for Temporal Knowledge Graphs Entity alignment (EA) is a fundamental data integration task that identifies equivalent entities between different knowledge graphs (KGs). Temporal Knowledge graphs (TKGs) extend traditional knowledge graphs by introducing timestamps, which have received increasing attention. State-of-the-art time-aware EA studies have suggested that th.. 2023. 2. 6. [2023-02-05] 오늘의 자연어처리 Predefined domain specific embeddings of food concepts and recipes: A case study on heterogeneous recipe datasets Although recipe data are very easy to come by nowadays, it is really hard to find a complete recipe dataset - with a list of ingredients, nutrient values per ingredient, and per recipe, allergens, etc. Recipe datasets are usually collected from social media websites where users post .. 2023. 2. 5. 이전 1 ··· 86 87 88 89 90 91 92 ··· 150 다음 반응형