Papers with zero-shot recognition
NERetrieve: Dataset for Next Generation Named Entity Recognition and Retrieval (2023.findings-emnlp)
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| Challenge: | Named Entity Recognition (NER) is a widely adopted NLP task . authors present three variants of NER task, with dataset to support them . |
| Approach: | They propose three variants of the NER task, together with a dataset to support them . they propose a move towards more fine-grained entities and zero-shot recognition . |
| Outcome: | The proposed model matches or surpasses existing models in NER tasks . the proposed model is based on a large, silver-annotated corpus of 4 million paragraphs . |
iKnow-audio: Integrating Knowledge Graphs with Audio-Language Models (2025.emnlp-main)
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| Challenge: | Contrastive language-audio pretraining models learn by aligning audio and text in a shared embedding space. |
| Approach: | They propose a framework that integrates knowledge graphs with audio-language models to provide robust semantic grounding. |
| Outcome: | iKnow-audio improves disambiguation of acoustically similar sounds and reduces prompt engineering. |