Question answering over Knowledge graphs has recently emerged as an important tool to allow non-expert users for accessing the accurate answer from available data. Question-answering models are considered advanced scale systems for providing concise answer to natural language questions from a huge amount of web data. Traditional information retrieval models extracts only relevant documents from the web of documents that contains a specific keyword and lacking to provide a unified knowledge as a result. This method of information retrieval lacks to provide a unified knowledge.
ORKG Comparisons have changed. We have added new features and improved the user interface. Comparisons might look slightly different, but the comparison data itself remains unchanged.