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Effectiveness and Efficiency of Open Relation Extraction
TLDR
A large number of Open Relation Extraction approaches have been proposed recently, covering a wide range of NLP machinery, from “shallow” (e.g., part-of-speech tagging) to “deep”. Expand
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KnowledgeNet: A Benchmark Dataset for Knowledge Base Population
TLDR
We introduce KnowledgeNet, a benchmark dataset for end-to-end evaluation of knowledge base population systems as a whole, unlike previous benchmarks that are more suitable for the evaluation of individual subcomponents. Expand
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Improving Open Relation Extraction via Sentence Re-Structuring
TLDR
Information Extraction is an important task in Natural Language Processing, consisting of finding a structured representation for the information expressed in natural language text. Expand
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