@inproceedings{rim-etal-2026-qualia,
    title = "A Qualia-Based Audit of Procedural Event Annotations",
    author = "Rim, Kyeongmin  and
      Verhagen, Marc  and
      Pustejovsky, James",
    editor = {H{\"u}rriyeto{\u{g}}lu, Ali  and
      Thapa, Surendrabikram  and
      Tanev, Hristo},
    booktitle = "Proceedings of the 9th Workshop on Event Extraction and Understanding: Challenges and Applications ({EEUCA} 2026)",
    month = jul,
    year = "2026",
    address = "San Diego, California, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/ingest-acl-workshops/2026.eeuca-1.6/",
    pages = "49--57",
    ISBN = "979-8-89176-402-6",
    abstract = "Procedural event annotations record *what changed* but not the semantic relevance or grounding of the change: whether the annotated entity is the kind of thing whose state matters for the domain.We present Entity Qualia Structure (EQS), a per-entity sortal-type categorization (coarsened from Generative Lexicon{'}s type system to three categories: natural, artifactual, instrument) extracted from existing lexical resources.Applied to the OpenPI food domain, EQS reaches 84.7{\%} coverage of the 518-item entity vocabulary; across 9367 transformation annotations, only 51.1{\%} concern food entities themselves, while 30.2{\%} record state changes of instruments, entities whose sortal type places them outside the food-state task.In a three-way comparison against existing cleanup efforts, EQS uniquely flags 15.6{\%} of annotations that neither human re-annotation (OpenPI-C) nor LLM salience scoring (OpenPI 2.0) catches.Analysis of the *agentive* quale reveals that 93{\%} of agentive-positive annotations involve instruments rather than food: entity creation can only be detected when the agentive feature is paired with the associated verb{'}s event semantics."
}