25 results for “Knowledge Graph”. Showing 25 of 39,449.
Infrastructure for rapid open knowledge network development
knowledge graph technologies for advanced data search, data integration, and query
Infrastructure for Rapid Open Knowledge Network Development
knowledge graph technologies for advanced data search, data integration, and query
Learning Knowledge Graphs for Question Answering through Conversational Dialog
knowledge graph (KG), and uses the graph to solve questions
FeedLens: Polymorphic Lenses for Personalizing Exploratory Search over Knowledge Graphs
knowledge graphs (KGs) make exploratory search over them cognitively demanding
Answering Elementary Science Questions by Constructing Coherent Scenes using Background Knowledge
knowledge graph” representation of the question, we can leverage several
Project Aristo: Towards Machines that Capture and Reason with Science Knowledge
knowledge graphs, and latent neural representations. I will also discuss
Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022)
Knowledge graphs are often used to store common sense information
The Semantic Scholar Open Data Platform
knowledge graph construction to build the Semantic Scholar Academic Graph
A community-based transcriptomics classification and nomenclature of neocortical cell types
knowledge graph, could provide a common foundation for the study
Human BioMolecular Atlas Program (HuBMAP): 3D Human Reference Atlas construction and usage
knowledge graphs and tools that describe the multiscale structure of the human
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knowledge graph, could provide a common foundation for the study
From Who You Know to What You Read: Augmenting Scientific Recommendations with Implicit Social Networks
knowledge-graph connections between recommended papers and a user’s publication
Exploiting Explicit Paths for Multi-hop Reading Comprehension
knowledge graphs, our proposed approach operates directly over unstructured text
Graph-Based Acquisition of Expressive Knowledge
knowledge from texts. Our methodology extends the classic NLP techniques to extract and disambiguate complex tasks and relations in texts. Using a graph
A systems biology representation of developmental anatomy.
graph requires explicit formalization of each aspect of the process, and this, in turn, often exposes gaps in knowledge
Answering Complex Questions Using Open Information Extraction
knowledge, allowing more complex questions to be handled. Using a recently proposed support graph
Answering Complex Questions Using Open Information Extraction
knowledge, allowing more complex questions to be handled. Using a recently proposed support graph
CURIE: An Iterative Querying Approach for Reasoning About Situations
graphs improves accuracy by 3 points. We show that these improvements mainly come from a hard subset of the data, that requires background knowledge
Knowledge entry as the graphical assembly of components
knowledge capture task, which is based on several claims: that users can construct representations by connecting pre-fabricated, representational components, rather than writing low-level axioms; that these components
A web-based ontology browsing and editing system
knowledge-acquisition methods. In this paper, we describe a Web-based ontology browsing and editing system with the following features: (a) well-organized English-like presentation of concept descriptions
Higher-order Lexical Semantic Models for Non-factoid Answer Reranking
knowledge is then used to estimate the semantic similarity between question and answer candidates. We introduce a higher-order formalism that allows all these lexical semantic models to chain direct
WIQA: A dataset for "What if..." reasoning over procedural text
graphs. For example, given a paragraph about beach erosion, would stormy weather result in more or less erosion (or have no effect)? The task is to answer the questions, given
WIQA: A dataset for “What if...” reasoning over procedural text
graphs describing how one change affects another, and a large (40k) collection of “What if...?” multiple-choice questions derived from these. For example, given a paragraph about beach erosion, would
proScript: Partially Ordered Scripts Generation
graph structure prediction. We define two complementary tasks: (i) edge prediction: given a scenario and unordered events, organize the events into a valid (possibly partialorder) script, and (ii) script generation
The biology of beauty sleep.
knowledge of genes controlling a phenotype of interest. The Sleeping Beauty (SB) transposon system is one of many commonly employed genetic screen tools used to induce both gain and loss