Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The b and digitized text sources contain a alth of information about named entities such as politicians, actors, companies, or cultural landmarks. Extracting this information has enabled the automated construction of large knowledge bases, containing hundred millions of binary relationships or attribute values about these named entities. Hover, in reality most knowledge is transient, i.e. changes over time, requiring a temporal dimension in fact extraction.   develop a methodology that combines label propagation with constraint reasoning for temporal fact extraction. Label propagation aggressively gathers fact candidates, and an Integer Linear Program is used to clean out false hypotheses that violate temporal constraints. Our method is able to improve on recall while keeping up with precision, which  demonstrate by experiments with biography-style Wikipedia pages and a large corpus of news articles.
['Y. Wang', 'Maximilian Dylla', 'Marc Spaniol', 'Gerhard Weikum']
I am writing a research paper on a idea Coupling Label Propagation and Constraints for Temporal Fact Extraction
[{"from": "human", "value": "I am writing a research paper on a idea Coupling Label Propagation and Constraints for Temporal Fact Extraction"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: The b and digitized text sources contain a alth of information about named entities such as politicians, actors, companies, or cultural landmarks. Extracting this information has enabled the automated construction of large knowledge bases, containing hundred millions of binary relationships or attribute values about these named entities. Hover, in reality most knowledge is transient, i.e. changes over time, requiring a temporal dimension in fact extraction.   develop a methodology that combines label propagation with constraint reasoning for temporal fact extraction. Label propagation aggressively gathers fact candidates, and an Integer Linear Program is used to clean out false hypotheses that violate temporal constraints. Our method is able to improve on recall while keeping up with precision, which  demonstrate by experiments with biography-style Wikipedia pages and a large corpus of news articles."}]