Chain-of-thought prompt distillation for multimodal named entity and multimodal relation extraction
F Chen, Y Feng - arxiv preprint arxiv:2306.14122, 2023 - arxiv.org
Multimodal Named Entity Recognition (MNER) and Multimodal Relation Extraction (MRE)
necessitate the fundamental reasoning capacity for intricate linguistic and multimodal …
necessitate the fundamental reasoning capacity for intricate linguistic and multimodal …
A novel feature integration and entity boundary detection for named entity recognition in cybersecurity
X Wang, J Liu - Knowledge-Based Systems, 2023 - Elsevier
Owing to continuous cyberattacks, a large amount of threat intelligence is generated online
every day. However, threat intelligence is mostly unstructured and multisource …
every day. However, threat intelligence is mostly unstructured and multisource …
Multi-granularity cross-modal representation learning for named entity recognition on social media
With social media posts tending to be multimodal, Multimodal Named Entity Recognition
(MNER) for the text with its accompanying image is attracting more and more attention since …
(MNER) for the text with its accompanying image is attracting more and more attention since …
Context-ner: Contextual phrase generation at scale
Named Entity Recognition (NER) has seen significant progress in recent years, with
numerous state-of-the-art (SOTA) models achieving high performance. However, very few …
numerous state-of-the-art (SOTA) models achieving high performance. However, very few …
[HTML][HTML] An adaptive approach to noisy annotations in scientific information extraction
Despite recent advances in large language models (LLMs), the best effectiveness in
information extraction (IE) is still achieved by fine-tuned models, hence the need for …
information extraction (IE) is still achieved by fine-tuned models, hence the need for …
A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling
The goal of document-level relation extraction (RE) is to identify relations between entities
that span multiple sentences. Recently, incomplete labeling in document-level RE has …
that span multiple sentences. Recently, incomplete labeling in document-level RE has …
Exogenous and Endogenous Data Augmentation for Low-Resource Complex Named Entity Recognition
Low-resource Complex Named Entity Recognition aims to detect entities with the form of any
linguistic constituent under scenarios with limited manually annotated data. Existing studies …
linguistic constituent under scenarios with limited manually annotated data. Existing studies …
Multi-level semantic enhancement based on self-distillation BERT for Chinese named entity recognition
Z Li, S Cao, M Zhai, N Ding, Z Zhang, B Hu - Neurocomputing, 2024 - Elsevier
As an important foundational task in the field of natural language processing, the Chinese
named entity recognition (NER) task has received widespread attention in recent years. Self …
named entity recognition (NER) task has received widespread attention in recent years. Self …
Uncertainty-Aware Contrastive Learning for semi-supervised named entity recognition
Named entity recognition (NER) based on deep neural networks has shown competitive
performance when trained on large-scale human-annotated data. However, they face …
performance when trained on large-scale human-annotated data. However, they face …
Improving distantly supervised named entity recognition by emphasizing uncertain examples
B Nie, Y Shao, Y Wang - Pattern Analysis and Applications, 2025 - Springer
Distantly supervised named entity recognition (DS-NER) aims to acquire knowledge from
noisy labels. Recently, label re-weighting and label correction based frameworks have been …
noisy labels. Recently, label re-weighting and label correction based frameworks have been …