[PDF] Top 20 Neighborhood Mixture Model for Knowledge Base Completion
Has 10000 "Neighborhood Mixture Model for Knowledge Base Completion" found on our website. Below are the top 20 most common "Neighborhood Mixture Model for Knowledge Base Completion".
Neighborhood Mixture Model for Knowledge Base Completion
... Besides the relation paths, there could be other useful information implicitly presented in the knowledge base that could be exploited for better KB completion. For instance, the whole neigh- borhood ... See full document
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LENA: Locality-Expanded Neural Embedding for Knowledge Base Completion
... our knowledge, ProjE (Shi and Weninger 2017), DistMult (Yang et ...bedding model R-GCN(Schlichtkrull et ...the model to pool information beyond the triple ...KB completion that exploit graph ... See full document
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End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion
... for knowledge base completion, with progressive im- provement from the initial TransE, TransH, DistMult et al to the current state-of-the-art ...to model knowledge graphs. The ... See full document
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Augmentic Compositional Models for Knowledge Base Completion Using Gradient Representations
... in knowledge base com- pletion (KBC), in which embeddings of entities and relations are combined into composite repre- sentations—pairs of entities in a particular rela- tion with one another—that are built ... See full document
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Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction
... statistical model, and the sec- ond step computes random walk probabilities as- sociated with each path type and node pair (these are the values in a feature ...the model relative to ... See full document
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Commonsense mining as knowledge base completion? A study on the impact of novelty
... Commonsense knowledge bases such as Con- ceptNet represent knowledge in the form of relational ...if knowledge base completion models can be used to mine com- monsense knowledge ... See full document
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Improving Neural Knowledge Base Completion with Cross Lingual Projections
... capture knowledge that is rarely made explicit in ...common-sense knowledge that is obvious to people such as, for instance, that bananas are yellow or that humans breath are rarely (or never) made explicit ... See full document
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Reasoning Over Paths via Knowledge Base Completion
... the model once with the whole data set and does not involve any additional training ...trained model with known ...our knowledge this is the first paper that is focused on trying to use path ranking ... See full document
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Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods
... the model trained on the proposed global objective can more reliably suggest confident entity-type pair candidates that could be added into the given knowl- edge ... See full document
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A Capsule Network based Embedding Model for Knowledge Graph Completion and Search Personalization
... Triple modeling is applied not only to the KG completion, but also for other tasks which can be formulated as a triple-based prediction prob- lem. An example is in search personalization, one would aim to tailor ... See full document
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Commonsense Knowledge Mining from Pretrained Models
... commonsense knowledge base completion (Li et ...edge base, evaluating the model’s performance on a held-out test set from the same ...sense knowledge, to train and validate their mod- ... See full document
6
Graph Pattern Entity Ranking Model for Knowledge Graph Completion
... • Evaluating the proposed models through link prediction tasks for standard datasets: It is shown that our model outperforms most state-of-the-art knowledge graph embedding models for the HITS@n and MRR ... See full document
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Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference
... Finally, we re-train a ComplEx model with similar re- lations from VerbOcean (final row). When combining the datasets, we find that setting the dimension of embeddings larger to n = 100 leads to better ... See full document
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Modeling Large Scale Structured Relationships with Shared Memory for Knowledge Base Completion
... biggest difference between our model and the existing frameworks is the controller and the use of the shared memory. We follow Shen et al. (2017) for using a controller module to dynamically perform a multi-step ... See full document
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Cross-lingual Knowledge Projection Using Machine Translation and Target-side Knowledge Base Completion
... built knowledge base completion models based on vector ...our knowledge, previous studies in this field do not target sense vectors of concepts for cross-lingual knowl- edge ... See full document
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A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
... Large-scale knowledge bases (KBs), such as YAGO (Suchanek et al., 2007), Freebase (Bol- lacker et al., 2008) and DBpedia (Lehmann et al., 2015), are usually databases of triples represent- ing the relationships ... See full document
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Modeling Paths for Explainable Knowledge Base Completion
... Gal´arraga et al. (2013) propose the system AMIE which mines such rules. Their approach is to adapt association rule mining to incomplete knowledge bases. Rules are assigned confidence values that state how likely ... See full document
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On Evaluating Embedding Models for Knowledge Base Completion
... To better illustrate why ER can lead to mislead- ing assessment of a model’s KBC performance, consider the DistMult model and the asymmetric relation nominatedFor. As described in Sec. 2, DistMult models all ... See full document
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Commonsense Knowledge Base Completion
... sense knowledge by formulating the prob- lem as one of knowledge base comple- tion ...on knowledge bases like Freebase that re- late entities drawn from a fixed ...bilinear model using ... See full document
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An Interpretable Knowledge Transfer Model for Knowledge Base Completion
... see, on WN18, ITransF outperforms STransE by a significant margin on rare relations. In partic- ular, in the last bin (rarest relations), the aver- age Hits@10 increases from 55.2 to 93.8, showing the great benefits of ... See full document
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