Taxonomy Expansion
13 papers with code • 0 benchmarks • 0 datasets
Expand a seed taxonomy with new unseen node
Benchmarks
These leaderboards are used to track progress in Taxonomy Expansion
Most implemented papers
TaxoExpan: Self-supervised Taxonomy Expansion with Position-Enhanced Graph Neural Network
Taxonomies consist of machine-interpretable semantics and provide valuable knowledge for many web applications.
Enhancing Taxonomy Completion with Concept Generation via Fusing Relational Representations
Automatic construction of a taxonomy supports many applications in e-commerce, web search, and question answering.
STEAM: Self-Supervised Taxonomy Expansion with Mini-Paths
yueyu1030/STEAM
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We propose a self-supervised taxonomy expansion model named STEAM, which leverages natural supervision in the existing taxonomy for expansion.
Taxonomy Completion via Triplet Matching Network
JieyuZ2/TMN
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Previous approaches focus on the taxonomy expansion, i. e. finding an appropriate hypernym concept from the taxonomy for a new query concept.
Enquire One's Parent and Child Before Decision: Fully Exploit Hierarchical Structure for Self-Supervised Taxonomy Expansion
sheryc/HEF
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Taxonomy is a hierarchically structured knowledge graph that plays a crucial role in machine intelligence.
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision
adacheng/product_taxonomy_expansion
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Specifically, i) to fully exploit user behavioral information, we extract candidate hyponymy relations that match user interests from query-click concepts; ii) to enhance the semantic information of new concepts and better detect hyponymy relations, we model concepts and relations through both user-generated content and structural information in existing taxonomies and user click logs, by leveraging Pre-trained Language Models and Graph Neural Network combined with Contrastive Learning; iii) to reduce the cost of dataset construction and overcome data skews, we construct a high-quality and balanced training dataset from existing taxonomy with no supervision.
DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space
songlinzhai/dng
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Specifically, the inherited feature originates from "parent" nodes and is weighted by an inheritance factor.
Towards Visual Taxonomy Expansion
darthzhu/vte
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Specifically, on the Chinese taxonomy dataset, our method significantly improves accuracy by 8. 75 %.
A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion
To be specific, we identify two common skills needed for entity set expansion, taxonomy expansion, and seed-guided taxonomy construction: finding "siblings" and finding "parents".
FLAME: Self-Supervised Low-Resource Taxonomy Expansion using Large Language Models
In this paper, we propose FLAME, a novel approach for taxonomy expansion in low-resource environments by harnessing the capabilities of large language models that are trained on extensive real-world knowledge.
