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Towards Linguistically Generalizable NLP Systems: A Workshop and Shared\n Task

2017/11/04 by Allyson Ettinger, Ettinger, Allyson, Sudha Rao +5
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling

paper · pdf · doi:10.48550/arxiv.1711.01505

openalex publication_date 2017/11/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

This paper presents a summary of the first Workshop on Building\nLinguistically Generalizable Natural Language Processing Systems, and the\nassociated Build It Break It, The Language Edition shared task. The goal of\nthis workshop was to bring together researchers in NLP and linguistics with a\nshared task aimed at testing the generalizability of NLP systems beyond the\ndistributions of their training data. We describe the motivation, setup, and\nparticipation of the shared task, provide discussion of some highlighted\nresults, and discuss lessons learned.\n

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