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Found 5 papers, 2 papers with code
Evaluating Factual Consistency of Texts with Semantic Role Labeling
We introduce SRLScore, a reference-free evaluation metric designed with text summarization in mind.
On the State of German (Abstractive) Text Summarization
We attribute poor evaluation quality to a variety of different factors, which are investigated in more detail in this work: A lack of qualitative (and diverse) gold data considered for training, understudied (and untreated) positional biases in some of the existing datasets, and the lack of easily accessible and streamlined pre-processing strategies or analysis tools.
Can depth-adaptive BERT perform better on binary classification tasks
In light of the success of transferring language models into NLP tasks, we ask whether the full BERT model is always the best and does it exist a simple but effective method to find the winning ticket in state-of-the-art deep neural networks without complex calculations.
Improving the Accuracy of Learning Example Weights for Imbalance Classification
To solve the imbalance classification, methods of weighting examples haven been proposed.
Localized Traffic Sign Detection with Multi-scale Deconvolution Networks
Autonomous driving is becoming a future practical lifestyle greatly driven by deep learning.
