Resource Interoperability for Sustainable Benchmarking: The Case of Events
By C. V. Son, Oana Inel, R. Morante, Lora Aroyo, Piek T. J. M. Vossen. 2018
7 citations recorded by the source corpus.
With the continuous growth of benchmark corpora, which often annotate the same documents, there is a range of opportunities to compare and combine similar and complementary annotations. However, these opportunities are hampered by a wide range of problems that are related to the lack of resource interoperability. In this paper, we illustrate these problems by assessing aspects of interoperability at the document-level across a set of 20 corpora annotated with (aspects of) events. The issues range from applying different document naming conventions, to mismatches in textual content and structural/conceptual differences among annotation schemes. We provide insight into the exact document intersections between the corpora by mapping their document identifiers and perform an empirical analysis of event annotations showing their compatibility and consistency in and across the corpora. This way, we aim to make the community more aware of the challenges and opportunities and to inspire working collaboratively towards interoperable resources.
Subfields: Artificial Intelligence, Marketing, Molecular Biology, Evaluation & Benchmarks, Information Extraction
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In Artificial Intelligence
- Lora Aroyo
- Chris Welty
- Praveen K. Paritosh
- Nicola Guarino
- Martin Hepp
- Ana Marasovic
- Sarah Wiegreffe
- Gianluca Demartini
In Molecular Biology
In Evaluation & Benchmarks
Citations in the corpus
- Metrology for AI: From Benchmarks to Instruments (2019, background): “• data in AI benchmarks is collected(Son 2018; Inel 2017; 2019)”