mlsanityData to 14 Oct 2026

Figurative Archive: an open dataset and web-based application for the study of metaphor

arXiv 2503.00444 ↗First posted 1 Mar 2025cs.CLcited by 4

Not on the map. Why?

Abstract (arXiv)

Research on metaphor has steadily increased over the last decades, as this phenomenon opens a window into a range of linguistic and cognitive processes. At the same time, the demand for rigorously constructed and extensively normed experimental materials increased as well. Here, we present the Figurative Archive, an open database of 996 metaphors in Italian enriched with rating and corpus-based measures (from familiarity to semantic distance and preferred interpretations), derived by collecting stimuli used across 11 studies. It includes both everyday and literary metaphors, varying in structure and semantic domains, and is validated based on correlations between familiarity and other measures. The Archive has several aspects of novelty: it is increased in size compared to previous resources; it offers a measure of metaphor inclusiveness, to comply with recommendations for non-discriminatory language use; it is displayed in a web-based interface, with features for a customized consultation. We provide guidelines for using the Archive to source materials for studies investigating metaphor processing and relationships between metaphor features in humans and computational models.

Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 7 of its 112 references that are in the map. First posted on arXiv 1 Mar 2025.

Builds on

7 of 112 references.

References · 7

  1. 2023ChatGPT Outperforms Crowd-Workers for Text-Annotation Taskscited by 870
  2. 2018Learning Word Vectors for 157 Languagescited by 280
  3. 2023Prompting Large Language Models for Topic Modelingcited by 25
  4. 2023Large Language Model Displays Emergent Ability to Interpret Novel Literary Metaphorscited by 12
  5. 2018Predicting Concreteness and Imageability of Words Within and Across Languages via Word Embeddingscited by 11
  6. 2024Determination of the Number of Topics Intrinsically: Is It Possible?cited by 3
  7. 2022Computational analyses of the topics, sentiments, literariness, creativity and beauty of texts in a large Corpus of English Literaturecited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 3; 2026: 1.

4 papers.