Anceresi, Gatti, Vecchi, Marelli and Rinaldi – A MAP OF WORDS 2023
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Description
This academic research paper, titled “A map of words: Retrieving the spatial layout of underground stations from natural language,” is a comprehensive 37-page document authored by a team of five researchers affiliated with prominent Italian universities and research foundations (University of Pavia, IRCCS Mondino Foundation, University of Milano-Bicocca, NeuroMI). Published recently (with references up to late 2023), it presents novel findings on how spatial information, even at a medium scale, can be extracted from natural language using distributional-semantic models. The paper is well-structured, featuring detailed methodology, rigorous statistical analyses (linear mixed models, Pearson correlations), and clear visual representations through six insightful scatter plots. Funded by significant national and European grants (PRIN, Ricerca Corrente, ERC), this work offers a high degree of trustworthiness and is invaluable for cognitive scientists, linguists, and AI researchers interested in the interplay between language, spatial cognition, and the construction of mental maps.
Additional information
| Pages | 37 |
|---|---|
| Filesize | 0.9Mb |





