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        <title>Butterfly Effects in Frame Semantic Parsing: impact of data processing on model ranking</title>
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        <namePart type="given">Alexandre</namePart>
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            <namePart type="given">Emily</namePart>
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    <abstract>Knowing the state-of-the-art for a particular task is an essential component of any computational linguistics investigation. But can we be truly confident that the current state-of-the-art is indeed the best performing model? In this paper, we study the case of frame semantic parsing, a well-established task with multiple shared datasets. We show that in spite of all the care taken to provide a standard evaluation resource, small variations in data processing can have dramatic consequences for ranking parser performance. This leads us to propose an open-source standardized processing pipeline, which can be shared and reused for robust model comparison.</abstract>
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%0 Conference Proceedings
%T Butterfly Effects in Frame Semantic Parsing: impact of data processing on model ranking
%A Kabbach, Alexandre
%A Ribeyre, Corentin
%A Herbelot, Aurélie
%Y Bender, Emily M.
%Y Derczynski, Leon
%Y Isabelle, Pierre
%S Proceedings of the 27th International Conference on Computational Linguistics
%D 2018
%8 August
%I Association for Computational Linguistics
%C Santa Fe, New Mexico, USA
%F kabbach-etal-2018-butterfly
%X Knowing the state-of-the-art for a particular task is an essential component of any computational linguistics investigation. But can we be truly confident that the current state-of-the-art is indeed the best performing model? In this paper, we study the case of frame semantic parsing, a well-established task with multiple shared datasets. We show that in spite of all the care taken to provide a standard evaluation resource, small variations in data processing can have dramatic consequences for ranking parser performance. This leads us to propose an open-source standardized processing pipeline, which can be shared and reused for robust model comparison.
%U https://aclanthology.org/C18-1267
%P 3158-3169

Markdown (Informal)

[Butterfly Effects in Frame Semantic Parsing: impact of data processing on model ranking](https://aclanthology.org/C18-1267) (Kabbach et al., COLING 2018)

• Butterfly Effects in Frame Semantic Parsing: impact of data processing on model ranking (Kabbach et al., COLING 2018)

ACL

• Alexandre Kabbach, Corentin Ribeyre, and Aurélie Herbelot. 2018. Butterfly Effects in Frame Semantic Parsing: impact of data processing on model ranking. In Proceedings of the 27th International Conference on Computational Linguistics, pages 3158–3169, Santa Fe, New Mexico, USA. Association for Computational Linguistics.