Search Results for author:
Found 6 papers, 5 papers with code
DoSEA: A Domain-specific Entity-aware Framework for Cross-Domain Named Entity Recogition
Cross-domain named entity recognition aims to improve performance in a target domain with shared knowledge from a well-studied source domain.
Cross-Domain Named Entity Recognition
Machine Reading Comprehension
+2
MMIDR: Teaching Large Language Model to Interpret Multimodal Misinformation via Knowledge Distillation
Automatic detection of multimodal misinformation has gained a widespread attention recently.
S2F-NER: Exploring Sequence-to-Forest Generation for Complex Entity Recognition
Named Entity Recognition (NER) remains challenging due to the complex entities, like nested, overlapping, and discontinuous entities.
A Boundary Offset Prediction Network for Named Entity Recognition
By leveraging the guiding semantics of boundary offsets, BOPN establishes connections between non-entity and entity spans, enabling non-entity spans to function as additional positive samples for entity detection.
Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning
Fine-grained entity typing (FET) is an essential task in natural language processing that aims to assign semantic types to entities in text.
Cross-modal Contrastive Learning for Multimodal Fake News Detection
An attention mechanism with an attention guidance module is implemented to help effectively and interpretably aggregate the aligned unimodal representations and the cross-modality correlations.
