DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking. (arXiv:2209.13187v2 [cs.CL] UPDATED)

Speech Entity Linking aims to recognize and disambiguate named entities in
spoken languages. Conventional methods suffer gravely from the unfettered
speech styles and the noisy transcripts generated by ASR systems. In this
paper, we propose a novel approach called Knowledge Enhanced Named Entity
Recognition (KENER), which focuses on improving robustness through painlessly
incorporating proper knowledge in the entity recognition stage and thus
improving the overall performance of entity linking. KENER first retrieves
candidate entities for a sentence without mentions, and …

arxiv knowledge ner nlp speech