Knowledge base population is the task of filling the incomplete elements of a given knowledge base by automatically processing a large corpus of text.
The combination of better supervised data and a more appropriate high-capacity model enables much better relation extraction performance.
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Relation Extraction
on Re-TACRED
KNOWLEDGE BASE POPULATION KNOWLEDGE GRAPHS RELATION EXTRACTION SLOT FILLING
KnowledgeNet is a benchmark dataset for the task of automatically populating a knowledge base (Wikidata) with facts expressed in natural language text on the web.
ENTITY LINKING KNOWLEDGE BASE POPULATION RELATION EXTRACTION
Entity disambiguation with Wikipedia relies on structured information from redirect pages, article text, inter-article links, and categories.
ENTITY DISAMBIGUATION ENTITY LINKING KNOWLEDGE BASE POPULATION
We describe the SemEval task of extracting keyphrases and relations between them from scientific documents, which is crucial for understanding which publications describe which processes, tasks and materials.
Relation extraction from text is an important task for automatic knowledge base population.
JOINT ENTITY AND RELATION EXTRACTION KNOWLEDGE BASE POPULATION
State-of-the-art relation extraction approaches are only able to recognize relationships between mentions of entity arguments stated explicitly in the text and typically localized to the same sentence.
KNOWLEDGE BASE POPULATION NATURAL LANGUAGE INFERENCE RELATION EXTRACTION
In this work, we propose a model which alleviates the need for such disambiguators by jointly learning NER and MD taggers in languages for which one can provide a list of candidate morphological analyses.
ENTITY LINKING KNOWLEDGE BASE POPULATION MORPHOLOGICAL DISAMBIGUATION NAMED ENTITY RECOGNITION RELATION EXTRACTION WORD EMBEDDINGS
State-of-the-art knowledge base completion (KBC) models predict a score for every known or unknown fact via a latent factorization over entity and relation embeddings.
ENTITY TYPING KNOWLEDGE BASE COMPLETION KNOWLEDGE BASE POPULATION KNOWLEDGE GRAPH COMPLETION LINK PREDICTION TYPE PREDICTION
If not, what characteristics of a dataset determine the performance of MF and TF models?
KNOWLEDGE BASE COMPLETION KNOWLEDGE BASE POPULATION KNOWLEDGE GRAPH COMPLETION KNOWLEDGE GRAPH EMBEDDING MATRIX FACTORIZATION / DECOMPOSITION