@inproceedings{tomita-etal-2025-natural,
    title = "Natural Language Inference with {CCG} Parser and Automated Theorem Prover for {DTS}",
    author = "Tomita, Asa  and
      Matsubara, Mai  and
      Daido, Hinari  and
      Bekki, Daisuke",
    editor = "Bernard, Timoth{\'e}e  and
      Mickus, Timothee",
    booktitle = "Proceedings of the Second Workshop on the Bridges and Gaps between Formal and Computational Linguistics (BriGap-2)",
    month = sep,
    year = "2025",
    address = {D{\"u}sseldorf, Germany},
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/iwcs-25-ingestion/2025.brigap-1.1/",
    pages = "1--7",
    ISBN = "979-8-89176-317-3",
    abstract = "We propose a Natural Language Inference (NLI) system based on compositional semantics. The system combines lightblue, a syntactic and semantic parser grounded in Combinatory Categorial Grammar (CCG) and Dependent Type Semantics (DTS), with wani, an automated theorem prover for Dependent Type Theory (DTT). Because each computational step reflects a theoretical assumption, system evaluation serves as a form of hypothesis verification. We evaluate the inference system using the Japanese Semantic Test Suite JSeM, and demonstrate how error analysis provides feedback to improve both the system and the underlying linguistic theory."
}