A tale of four parsers: methodological reflections on diagnostic evaluation and in-depth error analysis for meaning representation parsing.

We discuss methodological choices in diagnostic evaluation and error analysis in meaning representation parsing (MRP), i.e. mapping from natural language utterances to graph-based encodings of semantic structure. We expand on a pilot quantitative study in contrastive diagnostic evaluation, inspired...

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Published in:Language Resources & Evaluation Vol. 56; no. 4; pp. 1075 - 1103
Main Authors: Buljan, Maja, Nivre, Joakim, Oepen, Stephan, Øvrelid, Lilja
Format: Article
Published: Springer Nature Dec2022
Subjects:
Online Access:View this record in EBSCOhost
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        atl: A tale of four parsers: methodological reflections on diagnostic evaluation and in-depth error analysis for meaning representation parsing.
      aug:
        au:
          Buljan, Maja
          Nivre, Joakim
          Oepen, Stephan
          Øvrelid, Lilja
        affil:
          Department of Informatics, Language Technology Group, University of Oslo, Oslo, Norway
          Department of Linguistics and Philology, Uppsala University, Uppsala, Sweden
          RISE Research Institutes of Sweden, Kista, Sweden
      su:
        Diagnostic errors
        Natural languages
        Pilot projects
        Quantitative research
        Video coding
      sug:
        subj:
          Diagnostic errors
          Natural languages
          Pilot projects
          Quantitative research
          Video coding
      keyword:
        Contrastive evaluation
        Data-driven parsing
        Diagnostics
        Meaning representation parsing
        Sentence semantics
      ab: We discuss methodological choices in diagnostic evaluation and error analysis in meaning representation parsing (MRP), i.e. mapping from natural language utterances to graph-based encodings of semantic structure. We expand on a pilot quantitative study in contrastive diagnostic evaluation, inspired by earlier work in syntactic dependency parsing, and propose a novel methodology for qualitative error analysis. This two-pronged study is performed using a selection of submissions, data, and evaluation tools featured in the 2019 shared task on MRP. Our aim is to devise methods for identifying strengths and weaknesses in different broad families of parsing techniques, as well as investigating the relations between specific parsing approaches, different meaning representation frameworks, and individual linguistic phenomena—by identifying and comparing common error patterns. Our preliminary empirical results suggest that the proposed methodologies can be meaningfully applied to parsing into graph-structured target representations, as a side-effect uncovering hitherto unknown properties of the different systems that can inform future development and cross-fertilization across approaches.
      pubtype: Academic Journal
      doctype: Article
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    language: English
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