[PDF] Top 20 Reasoning Over Paths via Knowledge Base Completion
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Reasoning Over Paths via Knowledge Base Completion
... address knowledge base com- pletion and path query answering ...takes paths be- tween entity pairs as input and infers new rela- tions between ...multi-hop paths between them as input and ... See full document
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Modeling Paths for Explainable Knowledge Base Completion
... grow over time) and a major shortcoming, since development is not directed. As a result, collabora- tive KBs tend to be incomplete. Min et al. (2013) show that in Freebase 93.8% of persons have no place of birth ... See full document
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Compositional Vector Space Models for Knowledge Base Completion
... We use the publicly available entity links to Free- base in the ClueWeb dataset (Orr et al., 2013). Hence, we create nodes only for Freebase enti- ties in our KB graph. We remove facts containing /type/object/type ... See full document
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Explainable Reasoning over Knowledge Graphs for Recommendation
... named Knowledge-aware Path Recurrent Network (KPRN), which not only generates representations for paths by accounting for both entities and relations, but also performs reason- ing based on paths to ... See full document
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Improving Neural Knowledge Base Completion with Cross Lingual Projections
... of knowledge, as shown by complementary work from Faruqui et ...KB completion, however, make no use of cross-lingual links between entities, which are readily available in existing multilingual resources ... See full document
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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- ... See full document
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Representation Learning with Ordered Relation Paths for Knowledge Graph Completion
... KG completion methods are based on representation learning, which embed both entities and relations into continuous low- dimension ...KG completion models, which embeds entities and relations into the same ... See full document
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Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction
... KB completion. A separate line of research into KB completion can be broadly construed as performing some kind of inference over graphs in order to predict missing instances in a knowledge ... See full document
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An Interpretable Knowledge Transfer Model for Knowledge Base Completion
... relation paths (Garc´ıa-Dur´an et ...of paths grows exponentially with its length, as a side effect, path-based models enjoy much more training cases, suffering less from the ... See full document
13
A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
... Node+LinkFeat (Toutanova and Chen, 2015) – – – – 0.293 46.2 Table 3: Experimental results on WN18RR and FB15k-237 test sets. MRR and H@10 denote the mean reciprocal rank and Hits@10 (in %), respectively. [?]: Results are ... See full document
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Modeling Large Scale Structured Relationships with Shared Memory for Knowledge Base Completion
... shortest paths, we incrementally create the dataset and remove the instances which are a sub-path of previously selected paths or are super-set of previous selected ...shortest paths can not be ... See full document
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Knowledge Base Completion via Coupled Path Ranking
... Feature computation. Once path features are selected, the next step is to compute their values. Given an entity pair (h, t) and a path π, PRA com- putes the feature value as a random walk proba- bility p(t|h, π), i.e., ... See full document
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Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text
... relation paths has offered sig- nificant gains in embedding models for knowledge base (KB) ...enumerating paths between two en- tities is very expensive, and existing ap- proaches typically ... See full document
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Abstract Graphs and Abstract Paths for Knowledge Graph Completion
... In recent years, projecting the knowledge graph in an n-dimensional vector space, or learning em- beddings for predicting missing facts has attracted a lot of interest. Embedding models aim to map entities, ... See full document
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Knowledge Graph Completion via Complex Tensor Factorization
... learning, knowledge graph completion deals with automati- cally understanding the structure of large knowledge graphs—labeled directed graphs— and predicting missing relationships—labeled ... See full document
38
Commonsense Knowledge Base Completion
... using knowledge of various forms. Our focus is on the type of knowledge that is often referred to as “common- sense” or “background” ...this knowledge from patterns in raw text (Gor- don, 2014; ... See full document
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Type Sensitive Knowledge Base Inference Without Explicit Type Supervision
... the base model to unit norm performs better than using L2 ...corresponding base model on all measures, under- scoring the value of type compatibility ...our knowledge, the results of our typed models ... See full document
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Augmentic Compositional Models for Knowledge Base Completion Using Gradient Representations
... the knowledge base completion literature: Dist- Mult and ...obtained via operations applied to embeddings of the three triplet components—two entity vectors and a re- lation vector—with no ... See full document
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A SURVEY ON ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEM
... high-quality knowledge they contain about task ...of knowledge representation and reasoning methods. But in knowledge resides the ...of knowledge in expert systems and because the ... See full document
9
Abductive Reasoning with a Large Knowledge Base for Discourse Processing
... each reasoning step the procedure 1) applies axioms to propositions with non-zero costs and 2) merges propositions with the same predicate, assigning the lowest cost to the result of ...merging. Reasoning ... See full document
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