Knowledge Graphs
Proposition Knowledge Graphs
... Propositional Knowledge Graphs (PKG), a representation which addresses both of Open IE’s mentioned ...background knowledge – by applying methods such as textual entailment recognition (Dagan et ...
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Probabilistic Embedding of Knowledge Graphs with Box Lattice Measures
... Probabilistic models are especially compelling for modeling ontologies, entailment graphs, and knowledge graphs. Their desirable properties include an ability to remain consistent in the presence of ...
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Entity Alignment between Knowledge Graphs Using Attribute Embeddings
... of knowledge graphs (KGs) have been used in many applications including question answering systems (Yih et ...Geographic Knowledge Base (Trisedya et ...
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Validation of Growing Knowledge Graphs by Abductive Text Evidences
... benchmark knowledge graphs do not have corre- sponding logical theories or text corpora from which they are ...new knowledge graphs and the corresponding logical theories from existing text ...
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Text Generation from Knowledge Graphs with Graph Transformers
... using knowledge graphs, we provide a more detailed comparison of the GraphWriter and EntityWriter ...structured knowledge in the form of a graph improves abstract generation compared to generating ...
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AutoNet: Knowledge Graphs for Occasions Object Recognition
... various knowledge about the world. Meanwhile, we are utilized knowledge to understanding about the visual ...background knowledge of relations about the real ...novel knowledge graphs ...
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Storytelling from Structured Data and Knowledge Graphs : An NLG Perspective
... of knowledge graphs and domain-specific ontologies to understand the con- cepts present in structured data and assist the gen- eration step through a deeper ...from knowledge graphs area, like ...
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KGEval: Accuracy Estimation of Automatically Constructed Knowledge Graphs
... Our contributions in this paper are the follow- ing: (1). Systematic study into the important prob- lem of evaluation of automatically constructed Knowledge Graphs. (2). A novel crowdsourcing- based system ...
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Learning Attention based Embeddings for Relation Prediction in Knowledge Graphs
... of knowledge graphs (KGs) coupled with incomplete or partial in- formation, in the form of missing relations (links) between entities, has fueled a lot of research on knowledge base completion (also ...
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Exploring Knowledge Graphs in an Interpretable Composite Approach for Text Entailment
... generated knowledge graphs from WordNet, Wiki- tionary and Wikipedia definition sets to assess how each of them could leverage our approach’s ...that knowledge graphs covering the most basic, ...
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Learning Knowledge Graphs for Question Answering through Conversational Dialog
... the knowledge graphs we produce are targeted, question-specific semantic networks, which could be used in lieu of FrameNet to induce domain-specific dialog models (Chen et ...
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Explainable Reasoning over Knowledge Graphs for Recommendation
... Recently, knowledge graphs (KGs) have attracted increasing attention (Zhang et ...background knowledge of items and their relations amongst ...
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Exploring knowledge graphs for the identification of concept prerequisites
... The automatic identification of prerequisite relationships between concepts has been identified as one of the cornerstones for modern, large-scale online educational appli- cations (Gasparetti et al. 2018; Talukdar and ...
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DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings
... This paper describes DBee, a database to support the construction of data-intensive AI applications. DBee provides a unique data model which operates jointly over large-scale knowledge graphs (KGs) and ...
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ELDEN: Improved Entity Linking Using Densified Knowledge Graphs
... Entity Linking (EL) systems aim to automati- cally map mentions of an entity in text to the corresponding entity in a Knowledge Graph (KG). Degree of connectivity of an entity in the KG directly affects an EL ...
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Transfer in Deep Reinforcement Learning Using Knowledge Graphs
... using knowledge graphs as a state representation enables effi- cient transfer between deep reinforcement learn- ing agents designed to play text-adventure games, reducing training times and increasing the ...
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DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs
... the knowledge graphs slightly change (Last1 and Last2) in terms of accurate change ...predicting knowledge graph enti- ...predict knowledge graph entities, but are slightly worse at making ...
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Querying Knowledge Graphs with Extended Property Paths | www.semantic-web-journal.net
... of Knowledge Graphs (KGs) available today calls for powerful query languages that can strike a balance between expressiveness and complexity of query evaluation, and that can be easily integrated into ...
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Computing Semantic Similarity of Concepts in Knowledge Graphs
... open Knowledge Graphs (KGs) have develop to be accessible, which incorporate Freebase, DBpedia, YAGO, which are novel semantic systems recording countless thoughts, substances and their ...
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A Non commutative Bilinear Model for Answering Path Queries in Knowledge Graphs
... on knowledge graphs was pursued by Guu et ...the knowledge graph as a relation (edge) label but is composed of a cascade of three atomic ...a knowledge graph; see, ...the knowledge ...
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