A survey on deep learning for named entity recognition
Named entity recognition (NER) is the task to identify mentions of rigid designators from text
belonging to predefined semantic types such as person, location, organization etc. NER …
belonging to predefined semantic types such as person, location, organization etc. NER …
A survey on multimodal bidirectional machine learning translation of image and natural language processing
W Nam, B Jang - Expert Systems with Applications, 2024 - Elsevier
Advances in multimodal machine learning help artificial intelligence to resemble human
intellect more closely, which perceives the world from multiple modalities. We surveyed state …
intellect more closely, which perceives the world from multiple modalities. We surveyed state …
Hybrid transformer with multi-level fusion for multimodal knowledge graph completion
Multimodal Knowledge Graphs (MKGs), which organize visual-text factual knowledge, have
recently been successfully applied to tasks such as information retrieval, question …
recently been successfully applied to tasks such as information retrieval, question …
Bi-bimodal modality fusion for correlation-controlled multimodal sentiment analysis
Multimodal sentiment analysis aims to extract and integrate semantic information collected
from multiple modalities to recognize the expressed emotions and sentiment in multimodal …
from multiple modalities to recognize the expressed emotions and sentiment in multimodal …
Opendialkg: Explainable conversational reasoning with attention-based walks over knowledge graphs
We study a conversational reasoning model that strategically traverses through a large-
scale common fact knowledge graph (KG) to introduce engaging and contextually diverse …
scale common fact knowledge graph (KG) to introduce engaging and contextually diverse …
Good visual guidance makes a better extractor: Hierarchical visual prefix for multimodal entity and relation extraction
Multimodal named entity recognition and relation extraction (MNER and MRE) is a
fundamental and crucial branch in information extraction. However, existing approaches for …
fundamental and crucial branch in information extraction. However, existing approaches for …
Multi-modal graph fusion for named entity recognition with targeted visual guidance
Multi-modal named entity recognition (MNER) aims to discover named entities in free text
and classify them into pre-defined types with images. However, dominant MNER models do …
and classify them into pre-defined types with images. However, dominant MNER models do …
Improving multimodal named entity recognition via entity span detection with unified multimodal transformer
In this paper, we study Multimodal Named Entity Recognition (MNER) for social media posts.
Existing approaches for MNER mainly suffer from two drawbacks:(1) despite generating …
Existing approaches for MNER mainly suffer from two drawbacks:(1) despite generating …
RpBERT: a text-image relation propagation-based BERT model for multimodal NER
Recently multimodal named entity recognition (MNER) has utilized images to improve the
accuracy of NER in tweets. However, most of the multimodal methods use attention …
accuracy of NER in tweets. However, most of the multimodal methods use attention …
Nbias: A natural language processing framework for BIAS identification in text
Bias in textual data can lead to skewed interpretations and outcomes when the data is used.
These biases could perpetuate stereotypes, discrimination, or other forms of unfair …
These biases could perpetuate stereotypes, discrimination, or other forms of unfair …