2024
EMNLP
EMNLP 2024
Towards Cross-Linguistic Semantic Grounding using Dictionary Graph Analysis
Abstract
AbstractPrevious work has explored the structure of dictionaries as directed graphs, with arcs between words when one word is used in the definition of another. We analyze the efficacy of these methodologies and explore the cross-linguistic patterns of the strongly connected components of multiple monolingual dictionaries. We find that the number of sources in the condensation graph of a directed dictionary graph is roughly stable across multiple different languages, and present future research directions.
🌉
Interdisciplinary Bridge
— Interdisciplinary and Knowledge & Reasoning and Machine Learning and Mathematics & Optimization
🧭
Keyword Pioneer
— dictionary graph
🐝
Cross-Pollinator
— Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio
Authors
Topics
Machine Learning > Core Methods > Representation Learning
Knowledge & Reasoning > Representation > Knowledge Graphs
Knowledge & Reasoning > Representation > Knowledge Representation
Mathematics & Optimization > Mathematics > Graph Theory
Interdisciplinary > Linguistics > Computational Linguistics
Machine Learning > Core Methods > Graph Neural Networks