K-ZSL: Resources for Knowledge-driven Zero-shot Learning

06/29/2021
by   Yuxia Geng, et al.
27

External knowledge (a.k.a side information) plays a critical role in zero-shot learning (ZSL) which aims to predict with unseen classes that have never appeared in training data. Several kinds of external knowledge such as text and attribute have been widely investigated, but they alone are limited with incomplete semantics. Therefore, some very recent studies propose to use Knowledge Graph (KG) due to its high expressivity and compatibility for representing kinds of knowledge. However, the ZSL community is still short of standard benchmarks for studying and comparing different KG-based ZSL methods. In this paper, we proposed 5 resources for KG-based research in zero-shot image classification (ZS-IMGC) and zero-shot KG completion (ZS-KGC). For each resource, we contributed a benchmark and its KG with semantics ranging from text to attributes, from relational knowledge to logical expressions. We have clearly presented how the resources are constructed, their statistics and formats, and how they can be utilized with cases in evaluating ZSL methods' performance and explanations. Our resources are available at https://github.com/China-UK-ZSL/Resources_for_KZSL.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
02/26/2021

Knowledge-aware Zero-Shot Learning: Survey and Perspective

Zero-shot learning (ZSL) which aims at predicting classes that have neve...
research
04/07/2020

Generative Adversarial Zero-shot Learning via Knowledge Graphs

Zero-shot learning (ZSL) is to handle the prediction of those unseen cla...
research
06/08/2022

Disentangled Ontology Embedding for Zero-shot Learning

Knowledge Graph (KG) and its variant of ontology have been widely used f...
research
05/26/2021

Zero-shot Medical Entity Retrieval without Annotation: Learning From Rich Knowledge Graph Semantics

Medical entity retrieval is an integral component for understanding and ...
research
08/08/2018

Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance

Individual neurons in convolutional neural networks supervised for image...
research
11/14/2022

AdaptKeyBERT: An Attention-Based approach towards Few-Shot Zero-Shot Domain Adaptation of KeyBERT

Keyword extraction has been an important topic for modern natural langua...

Please sign up or login with your details

Forgot password? Click here to reset