文中还将Prototypical Networks extend到zero-shot learning的场景 并且state-of-the-art Few-shot classification is a task in which a classifier must be adapted to accommodatenew classes not seen in training, given only a few examples of each of these classes Prototypical Networks:用神经网络将input ...
//zenodo.org/record/1048419#.W5a2CBwnZhE- Best Buy queries:https://www.kaggle.com/dataturks/best-buy-ecommerce-ner-dataset/home- Resume entities for NER:https://www.kaggle.com/dataturks/resume-entities-for-ner/home- FEW-NERD: A Few-shot Named Entity Recognition Datasethttps://aclanthology...
【论文阅读】A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text[CoRRabs2017] 论文地址:https://arxiv.org/pdf/1711.07010.pdf 数据集地址:https://github.com/lancopku/Chinese-Literature-NER-RE-Dataset 中文文本的语篇级实体...
Named entity recognitionLexicon informationUnlabeled dataPre-trained language modelRecently, using lexicon information to improve the performance of Chinese named entity recognition has been proven to be effective. Moreover, the lexicon-based method represented by Lattice-LSTM has also become the mainstream...
Table 4 Entity Distribution in the cEHRNER Dataset Full size table Comparison of NER experiments on different Chinese pretraining models To compare the effectiveness of different Chinese BERT models for named entity recognition on EMR datasets, this paper uses different versions of BERT's pretrained ...
Named entity recognition (NER) aims to identify the required entities and their types from unstructured text, which can be utilized for the construction of
Pattern Recognition 2020 paper bib Jiang Lu, Pinghua Gong, Jieping Ye, Jianwei Zhang, Changshui Zhang Generalizing from a Few Examples: A Survey on Few-Shot Learning. ACM Comput. Surv. 2021 paper bib Yaqing Wang, Quanming Yao, James T. Kwok, Lionel M. Ni Learning from Few Samples: A ...
dataset_type No Integer Dataset type. Options: 0: image classification 1: object detection 3: image segmentation 100: text classification 101: named entity recognition 102: text triplet 200: sound classification 201: speech content 202: speech paragraph labeling ...
Entity type performance Test set details Dataset distribution Confusion matrix In this tab you can view the model's details such as: F1 score, precision, recall, date and time for the training job, total training time and number of training and testing documents inclu...
Review and export the labeled data as an Azure Machine Learning dataset. Important The text data you work with in the Azure Machine Learning data labeling tool must be available in an Azure Blob Storage datastore. If you don't have an existing datastore, you can upload your data files to ...