Abstract
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 language | English |
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Title of host publication | Proceedings of the Workshop on Cognitive Aspects of the Lexicon (CogALex-VII) |
Editors | Michael Zock, Emmanuele Chersoni, Yu-Yin Hsu, Enrico Santus |
Publisher | Association for Computational Linguistics, ACL Anthology |
Pages | 78-96 |
Number of pages | 19 |
ISBN (Print) | 978-1-959429-01-2 |
Publication status | Published - Nov 2022 |
Event | AACL-IJCNLP Workshop on Cognitive Aspects of the Lexicon 2022 - Online Duration: 20 Nov 2022 → 20 Nov 2022 |
Conference
Conference | AACL-IJCNLP Workshop on Cognitive Aspects of the Lexicon 2022 |
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Abbreviated title | CogALex 2022 |
Period | 20/11/22 → 20/11/22 |