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Found 6 papers, 3 papers with code
UETrice at MEDIQA 2021: A Prosper-thy-neighbour Extractive Multi-document Summarization Model
This paper describes a system developed to summarize multiple answers challenge in the MEDIQA 2021 shared task collocated with the BioNLP 2021 Workshop.
Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition
Emotion recognition in conversation (ERC) is a crucial task in natural language processing and affective computing.
Emotion Recognition in Conversation
Multimodal Emotion Recognition
KTVIC: A Vietnamese Image Captioning Dataset on the Life Domain
Image captioning is a crucial task with applications in a wide range of domains, including healthcare and education.
Solving Label Variation in Scientific Information Extraction via Multi-Task Learning
The complexity of this task is compounded by the necessity for domain-specific knowledge and the limited availability of annotated data.
Self-MI: Efficient Multimodal Fusion via Self-Supervised Multi-Task Learning with Auxiliary Mutual Information Maximization
Multimodal representation learning poses significant challenges in capturing informative and distinct features from multiple modalities.
A Richer-but-Smarter Shortest Dependency Path with Attentive Augmentation for Relation Extraction
To extract the relationship between two entities in a sentence, two common approaches are (1) using their shortest dependency path (SDP) and (2) using an attention model to capture a context-based representation of the sentence.
