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Found 7 papers, 2 papers with code
Aligning Actions Across Recipe Graphs
Recipe texts are an idiosyncratic form of instructional language that pose unique challenges for automatic understanding.
Task-Adaptive Pre-Training for Boosting Learning With Noisy Labels: A Study on Text Classification for African Languages
However, text classification in low-resource languages is still challenging due to the lack of annotated data.
Is BERT Robust to Label Noise? A Study on Learning with Noisy Labels in Text Classification
Incorrect labels in training data occur when human annotators make mistakes or when the data is generated via weak or distant supervision.
Script Parsing with Hierarchical Sequence Modelling
A crucial step for the exploitation of script knowledge is script parsing, the task of tagging a text with the events and participants from a certain activity.
Story Generation with Rich Details
Automatically generated stories need to be not only coherent, but also interesting.
A Hybrid Model for Globally Coherent Story Generation
The model exploits a symbolic text planning module to produce text plans, thus reducing the demand of data; a neural surface realization module then generates fluent text conditioned on the text plan.
