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Found 6 papers, 2 papers with code
Two-Stage Movie Script Summarization: An Efficient Method For Low-Resource Long Document Summarization
The Creative Summarization Shared Task at COLING 2022 aspires to generate summaries given long-form texts from creative writing.
Modeling Orthographic Variation Improves NLP Performance for Nigerian Pidgin
We test the effect of this data augmentation on two critical NLP tasks: machine translation and sentiment analysis.
On The Open Prompt Challenge In Conditional Audio Generation
Text-to-audio generation (TTA) produces audio from a text description, learning from pairs of audio samples and hand-annotated text.
In-Context Prompt Editing For Conditional Audio Generation
We show that the framework enhanced the audio quality across the set of collected user prompts, which were edited with reference to the training captions as exemplars.
Low-Resource Cross-Lingual Adaptive Training for Nigerian Pidgin
In this work, we target on improving upon both text classification and translation of Nigerian Pidgin (Naija) by collecting a large-scale parallel English-Pidgin corpus and further propose a framework of cross-lingual adaptive training that includes both continual and task adaptive training so as to adapt a base pre-trained model to low-resource languages.
Revisiting Sample Size Determination in Natural Language Understanding
Knowing exactly how many data points need to be labeled to achieve a certain model performance is a hugely beneficial step towards reducing the overall budgets for annotation.
