[PDF] Top 20 Reasoning With Neural Tensor Networks for Knowledge Base Completion
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Reasoning With Neural Tensor Networks for Knowledge Base Completion
... existing knowledge bases using patterns or classifiers applied to large text ...common knowledge that is obvious to people is expressed in text [5, 6, 2, ...the knowledge base. Such factual, ... See full document
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Reasoning Over Paths via Knowledge Base Completion
... our knowledge this is the first paper that is focused on trying to use path ranking to identify relevant enti- ties bridging a pair of known entities and therefore not directly comparable with other ... See full document
8
Modeling Large Scale Structured Relationships with Shared Memory for Knowledge Base Completion
... in two ways. First, inspired from Ribeiro et al. (2016), we would like to develop techniques to exploit ways to generate human understandable reasoning interpretation from the shared memory. Second, we plan to ... See full document
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Neural Tensor Networks with Diagonal Slice Matrices
... Although neural tensor networks (NTNs) have been successful in many natural language pro- cessing tasks, they require a large number of parameters to be estimated, which often results in overfitting ... See full document
10
Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference
... efficient reasoning for logically complex RTE problems such as those in the FraCaS test suite (Cooper et ...external knowledge to such logic-based RTE systems without loss of efficiency of ... 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
7
Commonsense Knowledge Base Completion
... Our methods are similar to past work on KBC (Mintz et al., 2009; Nickel et al., 2011; Lao et al., 2011; Nickel et al., 2012; Riedel et al., 2013; Gardner et al., 2014; West et al., 2014), particu- larly methods based on ... See full document
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A Convolutional Neural Network-based Model for Knowledge Base Completion and Its Application to Search Personalization | www.semantic-web-journal.net
... DISTMULT [62] and ComplEx [48] use a tri-linear dot product to compute the score for each triple. See formal definitions of DISTMULT and ComplEx in Ta- ble 1. In addition, NTN [40] uses a bilinear tensor operator ... See full document
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Augmentic Compositional Models for Knowledge Base Completion Using Gradient Representations
... such networks are the connectionist foundation for Harmonic Gram- mar (HG) and Optimality Theory (OT) in Lin- guistics (Smolensky and Legendre, 2006), where the dynamics of a neural network perform opti- ... See full document
10
End-to-End Structure-Aware Convolutional Networks for Knowledge Base Completion
... utilizing knowledge graph connectivity structure, node attributes and relation ...into knowledge structure information, which is easily integrated into the node ...convolutional neural model, called ... See full document
8
Logic tensor networks for semantic image interpretation
... logical reasoning, new facts can be derived in the scene from these basic components [19, ...symbolic Knowledge-base is used to improve object detection, but only the subsumption relation is explored ... See full document
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A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network
... Recently, convolutional neural networks (CNNs), originally designed for computer vision (LeCun et al., 1998), have significantly received research attention in natural language processing (Collobert et al., ... See full document
7
Can neural networks understand monotonicity reasoning?
... Table 6 shows that the accuracies of all models were better on upward inferences, in accordance with the reported results of the GLUE leader- board. The overall accuracy of each model was low. In particular, all models ... See full document
10
Feature Rich Networks for Knowledge Base Completion
... In this paper, we propose joint modelling of Knowledge Bases and text with Feature-Rich Net- works. Our models can learn to combine informa- tion from different sources and better utilize noisy information from ... See full document
6
Dialog Generation Using Multi Turn Reasoning Neural Networks
... the reasoning attention, the diversities of the responses are significantly ...the reasoning attention mechanism helps in- tegrating the multiple pieces of information as it can combine them in a more ... See full document
11
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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Efficient and Expressive Knowledge Base Completion Using Subgraph Feature Extraction
... We have explored several practical issues that arise when using the path ranking algorithm for knowledge base completion. An analysis of sev- eral of these issues led us to propose a sim- pler ... See full document
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A SURVEY ON ARTIFICIAL INTELLIGENCE AND EXPERT SYSTEM
... The problem-solving model, or paradigm, organizes and controls the steps taken to solve the problem. One common but powerful paradigm involves chaining of IF-THEN rules to form a line of reasoning. If the chaining ... See full document
9
Neural Relation Extraction for Knowledge Base Enrichment
... We study relation extraction for knowledge base (KB) enrichment. Specifically, we aim to extract entities and their relationships from sentences in the form of triples and map the elements of the extracted ... See full document
12
Commonsense mining as knowledge base completion? A study on the impact of novelty
... rank triples by assigned scores and manually eval- uate the top 100 resulting triples on a scale from 0 (nonsensical) to 4 (true statement). We re-evaluate their model against our baselines and find that the ... See full document
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