
More DWUGs: Extending and Evaluating Word Usage Graph …
2025年3月17日 · Word Usage Graphs (WUGs) represent human semantic proximity judgments for pairs of word uses in a weighted graph, which can be clustered to infer word sense clusters from simple pairwise word use judgments, avoiding the need for word sense definitions.
GitHub - Garrafao/WUGs: Code to process Word Usage Graphs
Find WUG data sets on the WUGsite. Under scripts/ we provide a pipeline creating and clustering graphs and extracting data from them (e.g. change scores). Assuming you are working on a …
kicasta/Modeling_WUGS_WSBM - GitHub
Modeling Sense Structure in Word Usage Graphs with the Weighted Stochastic Block Model. In Proceedings of the 10th Joint Conference on Lexical and Computational Semantics.
Word Usage Graphs (WUGs) | Institute for Natural Language …
Word Usage Graphs (WUGs) represent usages of a word as nodes in a graph which are connected by weighted edges representing (human-annotated) semantic proximity. We list various WUG resources below.
Recently, Word Usage Graphs (WUGs) have emerged as a new paradigm in the computational study of lexical semantic change (Schlechtweg et al.,2021b). For a given target word (lexeme), a word usage graph consists of a set of usages,1. along with humanly generated relatedness scores forsomesubsetofthepairsofusages.
Enriching Word Usage Graphs with Cluster Definitions
2024年3月26日 · We present a dataset of word usage graphs (WUGs), where the existing WUGs for multiple languages are enriched with cluster labels functioning as sense definitions. They are generated from scratch by fine-tuned encoder-decoder language models.
GitHub - pandanomial/graphs_and_trees: WUG and MST
A WUGraph represents a weighted, undirected graph in which self-edges are permitted. For maximum speed, it stores edges in two data structures: unordered doubly-linked adjacency lists and a hash table.
Word Usage Graphs (WUGs) represent hu- man semantic proximity judgments for pairs of word uses in a weighted graph, which can be clustered to infer word sense clusters from simple pairwise word use judgments, avoiding the need for word sense denitions.
A new ontology-based multimodal classification system for
2022年6月1日 · To extract such observation, we explore an ontology-based approach, which constructs a weighted undirected graph (WUG) based on labels of the images, profile picture, banner image, text in the images and description of the …
arborly – Typst Universe
2025年2月24日 · A library for producing beautiful syntax tree graphs.
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