RJuro/

SciNERTopic

• Task: Applications, problems to solve, systems to construct. E.g. information extraction, machine reading system, image segmentation, etc.
• Method: Methods , models, systems to use, or tools, components of a system, frameworks. E.g. language model, CORENLP, POS parser, kernel method, etc. • Evaluation Metric: Metrics, measures, or entities that can express the quality of a system/method. E.g. F1, BLEU, Precision, Recall, ROC curve, mean reciprocal rank, mean-squared error, robustness, time complexity, etc.
• Material: Data, datasets, resources, Corpus, Knowledge base. E.g. image data, speech data, stereo images, bilingual dictionary, paraphrased questions, CoNLL, Panntreebank, WordNet, Wikipedia, etc.
• Other Scientific Terms: Phrases that are scientific terms but do not fall into any of the above classes E.g. physical or geometric constraints, qualitative prior knowledge, discourse structure, syntactic rule, discourse structure, tree, node, tree kernel, features, noise, criteria
• Generic: General terms or pronouns that may refer to an entity but are not themselves informative, often used as connection words. E.g model, approach, prior knowledge, them, it...

Training

• Learning Rate: 1e-05
• Epochs: 10,

Performance

• Eval Loss: 0.401
• Precision 0.577
• Recall: 0.632
• F1: 0.603

Colab

Use

Cite this model