Add to ORKGThis dataset is the result of applying crowd sourcing to the extractions of two open information extraction tools (Open IE 4 and MinIE) linked below. Extractions were performed on both a set of random sentences from Wikipedia and randomly selected sentences from the OA-STM corpus. The aim is to evaluate the effectiveness of open information extraction tools on scientific and medical text. The initial datasets, the code for applying information, the HITS, labelling instructions, and analysis code are all included above
Summarization: The usefulness of automated information extraction tools in generating structured kno...
Over the past years, state-of-the-art information extraction (IE) systems such as NELL and ReVerb ha...
Research literature contains some of the most important information we have assembled as human speci...
This dataset is the result of applying crowd sourcing to the extractions of two open information ext...
The explosion of mostly unstructured data has further motivated researchers to focus on Natural Lang...
AbstractInformation extraction is the process of scanning text for information relevant to some inte...
Most existing data is stored in unstructured textual formats, which makes their subsequent processi...
: Many natural language researchers are now turning their attention to a relatively new task orienta...
Open data is a vital pillar of open science and a key enabler for reproducibility, data reuse, and n...
The Open Knowledge Extraction (OKE) challenge is aimed at promoting research in the automatic extrac...
Open Information Extraction (Open IE) is a challenging task especially due to its brittle data basis...
Recently, there has been much effort in making biomedical knowledge, typically stored in scientific ...
Though ontologies are considered central to foster the Semantic Web effort, their practical applicat...
International audienceIn the implementation and use of research information systems (RIS) in scienti...
Though ontologies are considered central to foster the Semantic Web effort, their practical applicat...
Summarization: The usefulness of automated information extraction tools in generating structured kno...
Over the past years, state-of-the-art information extraction (IE) systems such as NELL and ReVerb ha...
Research literature contains some of the most important information we have assembled as human speci...
This dataset is the result of applying crowd sourcing to the extractions of two open information ext...
The explosion of mostly unstructured data has further motivated researchers to focus on Natural Lang...
AbstractInformation extraction is the process of scanning text for information relevant to some inte...
Most existing data is stored in unstructured textual formats, which makes their subsequent processi...
: Many natural language researchers are now turning their attention to a relatively new task orienta...
Open data is a vital pillar of open science and a key enabler for reproducibility, data reuse, and n...
The Open Knowledge Extraction (OKE) challenge is aimed at promoting research in the automatic extrac...
Open Information Extraction (Open IE) is a challenging task especially due to its brittle data basis...
Recently, there has been much effort in making biomedical knowledge, typically stored in scientific ...
Though ontologies are considered central to foster the Semantic Web effort, their practical applicat...
International audienceIn the implementation and use of research information systems (RIS) in scienti...
Though ontologies are considered central to foster the Semantic Web effort, their practical applicat...
Summarization: The usefulness of automated information extraction tools in generating structured kno...
Over the past years, state-of-the-art information extraction (IE) systems such as NELL and ReVerb ha...
Research literature contains some of the most important information we have assembled as human speci...