TSNLP - Test Suites for Natural Language Processing
Sabine Lehmann (ISSCO, University of Geneva), Stephan Oepen (DFKI,, Saarbruecken), Sylvie Regnier-Prost (Aerospatiale, Suresnes), Klaus Netter, (DFKI), Veronika Lux (Aerospatiale), Judith Klein (DFKI), Kirsten Falkedal, (GMS, Berlin), Frederik Fouvry (University of Essex)

TL;DR
The TSNLP project developed comprehensive, multilingual test suites and tools for evaluating NLP applications, providing a valuable resource for diagnostics and benchmarking in the field.
Contribution
It introduces a systematic methodology and publicly available test suites for multiple European languages, enhancing NLP evaluation practices.
Findings
Created multi-language test suites for NLP evaluation
Developed tools for test data construction and maintenance
Provided publicly accessible NLP diagnostic resources
Abstract
The TSNLP project has investigated various aspects of the construction, maintenance and application of systematic test suites as diagnostic and evaluation tools for NLP applications. The paper summarizes the motivation and main results of the project: besides the solid methodological foundation, TSNLP has produced substantial multi-purpose and multi-user test suites for three European languages together with a set of specialized tools that facilitate the construction, extension, maintenance, retrieval, and customization of the test data. As TSNLP results, including the data and technology, are made publicly available, the project presents a valuable linguistic resourc e that has the potential of providing a wide-spread pre-standard diagnostic and evaluation tool for both developers and users of NLP applications.
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Taxonomy
TopicsSemantic Web and Ontologies · Natural Language Processing Techniques · Advanced Database Systems and Queries
