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. Existing taxonomy expansion or completion methods …
search, and question answering. Existing taxonomy expansion or completion methods …
Steam: Self-supervised taxonomy expansion with mini-paths
Taxonomies are important knowledge ontologies that underpin numerous applications on a
daily basis, but many taxonomies used in practice suffer from the low coverage issue. We …
daily basis, but many taxonomies used in practice suffer from the low coverage issue. We …
Which is better? Taxonomy induction with learning the optimal structure via contrastive learning
A taxonomy represents a hierarchically structured knowledge graph that forms the
infrastructure for various downstream applications, including recommender systems, web …
infrastructure for various downstream applications, including recommender systems, web …
Chain-of-layer: Iteratively prompting large language models for taxonomy induction from limited examples
Automatic taxonomy induction is crucial for web search, recommendation systems, and
question answering. Manual curation of taxonomies is expensive in terms of human effort …
question answering. Manual curation of taxonomies is expensive in terms of human effort …
TEMP: taxonomy expansion with dynamic margin loss through taxonomy-paths
Z Liu, H Xu, Y Wen, N Jiang, H Wu… - Proceedings of the 2021 …, 2021 - aclanthology.org
As an essential form of knowledge representation, taxonomies are widely used in various
downstream natural language processing tasks. However, with the continuously rising of …
downstream natural language processing tasks. However, with the continuously rising of …
Constructing taxonomies from pretrained language models
We present a method for constructing taxonomic trees (eg, WordNet) using pretrained
language models. Our approach is composed of two modules, one that predicts parenthood …
language models. Our approach is composed of two modules, one that predicts parenthood …
Enquire one's parent and child before decision: Fully exploit hierarchical structure for self-supervised taxonomy expansion
Taxonomy is a hierarchically structured knowledge graph that plays a crucial role in
machine intelligence. The taxonomy expansion task aims to find a position for a new term in …
machine intelligence. The taxonomy expansion task aims to find a position for a new term in …
Towards Visual Taxonomy Expansion
Taxonomy expansion task is essential in organizing the ever-increasing volume of new
concepts into existing taxonomies. Most existing methods focus exclusively on using textual …
concepts into existing taxonomies. Most existing methods focus exclusively on using textual …
Generating and visualizing trace link explanations
Recent breakthroughs in deep-learning (DL) approaches have resulted in the dynamic
generation of trace links that are far more accurate than was previously possible. However …
generation of trace links that are far more accurate than was previously possible. However …
Learning what you need from what you did: Product taxonomy expansion with user behaviors supervision
Taxonomies have been widely used in various domains to underpin numerous applications.
Specially, product taxonomies serve an essential role in the e-commerce domain for the …
Specially, product taxonomies serve an essential role in the e-commerce domain for the …