relation-based knowledge base
A Convolutional Neural Network-based Model for Knowledge Base Completion and Its Application to Search Personalization | www.semantic-web-journal.net
... the knowledge base completion ...and relation embeddings, so that ConvKB generalizes the transitional characteris- tics in the transition-based embedding ...
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Interactive Instance based Evaluation of Knowledge Base Question Answering
... The list of entity disambiguation candidates is interactive and the user can select all or none can- didates for each entity mention. In case multiple candidates are selected, all of them are sent to the QA system as ...
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Learning Representation Mapping for Relation Detection in Knowledge Base Question Answering
... Relation detection is a core step in many nat- ural language process applications including knowledge base question answering. Previous efforts show that single-fact questions could be answered with ...
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On Evaluating Embedding Models for Knowledge Base Completion
... background knowledge (BK) is available, embedding models only need to score triples con- sistent with the ...rule- based approaches do, since all predicted candi- dates will be ...
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Filling Knowledge Base Gaps for Distant Supervision of Relation Extraction
... original knowledge base ∆. 2.4 Distantly Supervised Relation Extraction We use a state-of-the-art open-source system, MULTIR (Hoffmann et ...is based on multi-instance learning, which assumes ...
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Compositional Learning of Embeddings for Relation Paths in Knowledge Base and Text
... incorporate relation paths ef- ...complexity. Based on the observation that compositional representations of relation paths are in fact decomposable, we propose a novel dynamic programming method ...
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Improved Neural Relation Detection for Knowledge Base Question Answering
... original relation names can sometimes help to match longer question contexts, we propose to build both relation-level and word-level rela- tion ...improved relation detection could benefit the KBQA ...
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Distantly Supervised Web Relation Extraction for Knowledge Base Population
... extract relation mentions across sen- tence boundaries and integrate them to predict rela- ...extracting relation mentions across sentence boundaries not only increases recall by up to 25% depending on the ...
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Various Methods Of Knowledge Transfer From The Parent Company To Subsudiaries In Holding Companies (Case Study: Paxan Company Of Iran)
... transfer knowledge in written to the subsidiaries. In balance based knowledge transfer method, time and usual investment are spent for knowledge transfer, application of received ...
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Relation Discovery with Out of Relation Knowledge Base as Supervision
... straints based on background knowledge are also well ...background knowledge can be incorporated as an ILP (integer linear programming) ...background knowledge as declarative ...
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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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Neural Relation Extraction for Knowledge Base Enrichment
... study relation extraction for knowledge base (KB) ...end-to-end relation extraction model for KB enrichment based on a neural encoder-decoder ...n-gram based attention model that ...
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Context Aware Representations for Knowledge Base Relation Extraction
... single relation type based on the combined evi- dence from all of the occurrences of an entity ...multiple relation types to each entity pair, such that the predictions are tied to particular oc- ...
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Last Words: What Can Be Accomplished with the State of the Art in Information Extraction? A Personal View
... For several years, political scientists (O’Brien 2010; Montgomery, Ward, and Hollenbach 2011) have developed forecasting models of diverse types of political instability (e.g., international/internal conflict, political ...
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Generalising Incremental Knowledge Acquisition
... adding knowledge to add conclusions or replace conclusions do not have to be implicit in knowledge engi- ...all knowledge acquisition is explicitly achieved by adding a KBS/program/rule to augment or ...
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Learning to Map Natural Language Statements into Knowledge Base Representations for Knowledge Base Construction
... the knowledge triples obtained from open information extraction systems into a knowledge base is often impractical due to a vocabulary gap between natural language (NL) expressions and ...
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STEM: Stacked Threshold-based Entity Matching for Knowledge Base Generation | www.semantic-web-journal.net
... of knowledge bases is the integration of data coming from a collection of heterogeneous data ...is based on the definition of a similarity measure among entities and on the classification of the entity pair ...
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Text Clustering using a WordNet based Knowledge Base and the Lesk Algorithm
... In Information Retrieval problems, WSD does the task of selecting the most appropriate meaning for any given word with respect to its context. It is used with the aim of improving retrieval effectiveness. As sense ...
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Pocket Knowledge Base Population
... Existing Knowledge Base Population methods extract relations from a closed relational schema with limited coverage, leading to sparse ...Pocket Knowledge Base Population (PKBP), the task of ...
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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; ...
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