May 8, 2021 · In this paper, we propose to find external contexts of a sentence by retrieving and selecting a set of semantically relevant texts through a search engine.

In this paper, we propose to find external contexts of a sentence by retrieving and selecting a set of semantically relevant texts through a search engine.

• Improving NER models' accuracy by retrieving related contexts. • Cooperative Learning improves the robustness of the models when no external contexts are ...

CLNER is a framework for improving the accuracy of NER models through retrieving external contexts, then use the cooperative learning approach to improve the ...

The first retrieval-aug NER (RaNER) system that achieves SOTA performance over multiple domains.

Based on Wikipedia of the 11 languages, we build a multilingual knowledge base to search for the related knowledge of the input sentence.

For this paper, we chose to use an e-commerce specific NER model (Wang et al., 2021) trained with a Cooperative Learning objective. This coaching strategy ...

May 8, 2021 · Recent advances in Named Entity Recognition (NER) show that document-level contexts can significantly improve model performance.

Dec 8, 2022 · Our experiments show that including the re- trieved external contexts can significantly improve the accuracy of NER models on 8 NER datasets.

1. BERT-CRF (Replicated in AdaSeq). 68.97. Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning ; 2. MacBERT-large. 62.4.