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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2508.11068 |
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| _version_ | 1866916901195612160 |
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| author | Goulet, Nicolas Massé, Alexandre Blondin Abdendi, Moussa |
| author_facet | Goulet, Nicolas Massé, Alexandre Blondin Abdendi, Moussa |
| contents | Abstract meaning representation (AMR) is a semantic formalism used to represent the meaning of sentences as directed acyclic graphs. In this paper, we describe how real digital dictionaries can be embedded into AMR directed graphs (digraphs), using state-of-the-art pre-trained large language models. Then, we reduce those graphs in a confluent manner, i.e. with transformations that preserve their circuit space. Finally, the properties of these reduces digraphs are analyzed and discussed in relation to the symbol grounding problem. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_11068 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Approaching the Source of Symbol Grounding with Confluent Reductions of Abstract Meaning Representation Directed Graphs Goulet, Nicolas Massé, Alexandre Blondin Abdendi, Moussa Computation and Language Abstract meaning representation (AMR) is a semantic formalism used to represent the meaning of sentences as directed acyclic graphs. In this paper, we describe how real digital dictionaries can be embedded into AMR directed graphs (digraphs), using state-of-the-art pre-trained large language models. Then, we reduce those graphs in a confluent manner, i.e. with transformations that preserve their circuit space. Finally, the properties of these reduces digraphs are analyzed and discussed in relation to the symbol grounding problem. |
| title | Approaching the Source of Symbol Grounding with Confluent Reductions of Abstract Meaning Representation Directed Graphs |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2508.11068 |