A neurosymbolic pipeline converts images into enriched knowledge graphs by combining LLM descriptions, AMR parsing, and LLM-generated implicit knowledge heuristics.
ChainNet: Structured Metaphor and Metonymy in WordNet
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abstract
The senses of a word exhibit rich internal structure. In a typical lexicon, this structure is overlooked: a word's senses are encoded as a list without inter-sense relations. We present ChainNet, a lexical resource which for the first time explicitly identifies these structures. ChainNet expresses how senses in the Open English Wordnet are derived from one another: every nominal sense of a word is either connected to another sense by metaphor or metonymy, or is disconnected in the case of homonymy. Because WordNet senses are linked to resources which capture information about their meaning, ChainNet represents the first dataset of grounded metaphor and metonymy.
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Neurosymbolic Graph Enrichment for Grounded World Models
A neurosymbolic pipeline converts images into enriched knowledge graphs by combining LLM descriptions, AMR parsing, and LLM-generated implicit knowledge heuristics.