@inproceedings{maudslay-etal-2024-chainnet,
    title = "{C}hain{N}et: Structured Metaphor and Metonymy in {W}ord{N}et",
    author = "Maudslay, Rowan Hall  and
      Teufel, Simone  and
      Bond, Francis  and
      Pustejovsky, James",
    editor = "Calzolari, Nicoletta  and
      Kan, Min-Yen  and
      Hoste, Veronique  and
      Lenci, Alessandro  and
      Sakti, Sakriani  and
      Xue, Nianwen",
    booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
    month = may,
    year = "2024",
    address = "Torino, Italia",
    publisher = "ELRA and ICCL",
    url = "https://aclanthology.org/2024.lrec-main.266",
    pages = "2984--2996",
    abstract = "The senses of a word exhibit rich internal structure. In a typical lexicon, this structure is overlooked: A word{'}s senses are encoded as a list, without inter-sense relations. We present ChainNet, a lexical resource which for the first time explicitly identifies these structures, by expressing how senses in the Open English Wordnet are derived from one another. In ChainNet, every nominal sense of a word is either connected to another sense by metaphor or metonymy, or is disconnected (in the case of homonymy). Because WordNet senses are linked to resources which capture information about their meaning, ChainNet represents the first dataset of grounded metaphor and metonymy.",
}

The senses of a word exhibit rich internal structure. In a typical lexicon, this structure is overlooked: A word{'}s senses are encoded as a list, without inter-sense relations. We present ChainNet, a lexical resource which for the first time explicitly identifies these structures, by expressing how senses in the Open English Wordnet are derived from one another. In ChainNet, every nominal sense of a word is either connected to another sense by metaphor or metonymy, or is disconnected (in the case of homonymy). Because WordNet senses are linked to resources which capture information about their meaning, ChainNet represents the first dataset of grounded metaphor and metonymy.
Maudslay, Rowan Hall Teufel, Simone Bond, Francis Pustejovsky, James
ChainNet: Structured Metaphor and Metonymy in WordNet