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Chenran Cai

2 accepted papers

2023

In-context Learning for Few-shot Multimodal Named Entity Recognition

EMNLP 2023long findings

Thanks in part to the availability of copious annotated resources for some entity categories, existing studies have achieved superior performance in multimodal named entity recognition (MNER). However, in the real-world scenario, it is infeasible to enumerate all entity categories in advance. Theref…

Cited by 0SourceScholar
2023

MMSD2.0: Towards a Reliable Multi-modal Sarcasm Detection System

ACL 2023findings

Multi-modal sarcasm detection has attracted much recent attention. Nevertheless, the existing benchmark (MMSD) has some shortcomings that hinder the development of reliable multi-modal sarcasm detection system: (1) There are some spurious cues in MMSD, leading to the model bias learning; (2) The neg…