FinRED: A Dataset for Relation Extraction in Financial Domain
Soumya Sharma, Tapas R. Nayak, Arusarka Bose, Ajay Kumar Meena, Koustuv Dasgupta, Niloy Ganguly, Pawan Goyal
Abstract
This paper presents the results of research on supervised extractive text summarisation for scientific articles. We show that a simple sequential tagging model based only on the text within a document achieves high results against a simple classification model. Improvements can be achieved through additional sentence-level features, though these were minimal. Through further analysis, we show the potential of the sequential model relying on the structure of the document depending on the academic discipline which the document is from.
Topics & Concepts
Relationship extractionRelation (database)Computer scienceBenchmark (surveying)Domain (mathematical analysis)Data miningOpen domainExtraction (chemistry)Information extractionTest dataArtificial intelligenceMathematicsSoftware engineeringGeographyQuestion answeringGeodesyChromatographyChemistryMathematical analysisTopic ModelingNatural Language Processing TechniquesBiomedical Text Mining and Ontologies