1. jp-evalb: Robust Alignment-based PARSEVAL Measures
- Author
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Park, Jungyeul, Wang, Junrui, Jo, Eunkyul Leah, and Park, Angela Yoonseo
- Subjects
Computer Science - Computation and Language - Abstract
We introduce an evaluation system designed to compute PARSEVAL measures, offering a viable alternative to \texttt{evalb} commonly used for constituency parsing evaluation. The widely used \texttt{evalb} script has traditionally been employed for evaluating the accuracy of constituency parsing results, albeit with the requirement for consistent tokenization and sentence boundaries. In contrast, our approach, named \texttt{jp-evalb}, is founded on an alignment method. This method aligns sentences and words when discrepancies arise. It aims to overcome several known issues associated with \texttt{evalb} by utilizing the `jointly preprocessed (JP)' alignment-based method. We introduce a more flexible and adaptive framework, ultimately contributing to a more accurate assessment of constituency parsing performance., Comment: To appear in The system demonstration track at NAACL-HLT 2024
- Published
- 2024