Compositionality as an Analogical Process: Introducing ANNE

Giulia Rambelli, Emmanuele Chersoni, Philippe Blache, Alessandro Lenci

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


Usage-based constructionist approaches consider language a structured inventory of constructions, form-meaning pairings of different schematicity and complexity, and claim that the more a linguistic pattern is encountered, the more it becomes accessible to speakers. However, when an expression is unavailable, what processes underlie the interpretation? While traditional answers rely on the principle of compositionality, for which the meaning is built word-by-word and incrementally, usage-based theories argue that novel utterances are created based on previously experienced ones through analogy, mapping an existing structural pattern onto a novel instance. Starting from this theoretical perspective, we propose here a computational implementation of these assumptions. As the principle of compositionality has been used to generate distributional representations of phrases, we propose a neural network simulating the construction of phrasal embedding as an analogical process. Our framework, inspired by word2vec and computer vision techniques, was evaluated on tasks of generalization from existing vectors.
Original languageEnglish
Title of host publicationProceedings of the Workshop on Cognitive Aspects of the Lexicon (CogALex-VII)
EditorsMichael Zock, Emmanuele Chersoni, Yu-Yin Hsu, Enrico Santus
PublisherAssociation for Computational Linguistics, ACL Anthology
Number of pages19
ISBN (Print)978-1-959429-01-2
Publication statusPublished - Nov 2022
EventAACL-IJCNLP Workshop on Cognitive Aspects of the Lexicon 2022 - Online
Duration: 20 Nov 202220 Nov 2022


ConferenceAACL-IJCNLP Workshop on Cognitive Aspects of the Lexicon 2022
Abbreviated titleCogALex 2022


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