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Knowledge graphs meet multi-modal learning: A comprehensive survey
Knowledge Graphs (KGs) play a pivotal role in advancing various AI applications, with the
semantic web community's exploration into multi-modal dimensions unlocking new avenues …
semantic web community's exploration into multi-modal dimensions unlocking new avenues …
Unimel: A unified framework for multimodal entity linking with large language models
Multimodal Entity Linking (MEL) is a crucial task that aims at linking ambiguous mentions
within multimodal contexts to the referent entities in a multimodal knowledge base, such as …
within multimodal contexts to the referent entities in a multimodal knowledge base, such as …
Ameli: Enhancing multimodal entity linking with fine-grained attributes
We propose attribute-aware multimodal entity linking, where the input is a mention
described with a text and image, and the goal is to predict the corresponding target entity …
described with a text and image, and the goal is to predict the corresponding target entity …
MELOV: Multimodal entity linking with optimized visual features in latent space
Multimodal entity linking (MEL), which aligns ambiguous mentions within multimodal
contexts to referent entities from multimodal knowledge bases, is essential for many natural …
contexts to referent entities from multimodal knowledge bases, is essential for many natural …
Trust in internal or external knowledge? generative multi-modal entity linking with knowledge retriever
Multi-modal entity linking (MEL) is a challenging task that requires accurate prediction of
entities within extensive search spaces, utilizing multi-modal contexts. Existing generative …
entities within extensive search spaces, utilizing multi-modal contexts. Existing generative …
Mike: A new benchmark for fine-grained multimodal entity knowledge editing
Multimodal knowledge editing represents a critical advancement in enhancing the
capabilities of Multimodal Large Language Models (MLLMs). Despite its potential, current …
capabilities of Multimodal Large Language Models (MLLMs). Despite its potential, current …
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting
Entity Linking (EL) is the process of associating ambiguous textual mentions to specific
entities in a knowledge base. Traditional EL methods heavily rely on large datasets to …
entities in a knowledge base. Traditional EL methods heavily rely on large datasets to …
Contextual Augmentation for Entity Linking using Large Language Models
Entity Linking involves detecting and linking entity mentions in natural language texts to a
knowledge graph. Traditional methods use a two-step process with separate models for …
knowledge graph. Traditional methods use a two-step process with separate models for …
[HTML][HTML] Hokiebot: Towards personalized open-domain chatbot with long-term dialogue management and customizable automatic evaluation
V Tech - 2023 - amazon.science
Download Copy BibTeX@ Article {Tech2023, author={Virginia Tech}, title={HOKIEBOT:
Towards personalized open-domain chatbot with long-term dialogue management and …
Towards personalized open-domain chatbot with long-term dialogue management and …
A survey of named entity disambiguation in entity linking
S Duan, Y Guang, W Bu, J Yang - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Named Entity Disambiguation (NED) holds significant importance and application value in
the field of Natural Language Processing (NLP). With the development and application of …
the field of Natural Language Processing (NLP). With the development and application of …