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Found 11 papers, 2 papers with code
Neural Automated Writing Evaluation with Corrective Feedback
The utilization of technology in second language learning and teaching has become ubiquitous.
Evaluating Prompting Strategies for Grammatical Error Correction Based on Language Proficiency
The writing examples of English language learners may be different from those of native speakers.
Continual Learning with Dirichlet Generative-based Rehearsal
Recent advancements in data-driven task-oriented dialogue systems (ToDs) struggle with incremental learning due to computational constraints and time-consuming issues.
A Lite Fireworks Algorithm with Fractal Dimension Constraint for Feature Selection
The "LFWA+FD" focuses on searching the ideal feature subset by simplifying the fireworks algorithm and constraining the dimensionality of selected features by fractal dimensionality, which in turn reduces the approximate features and reduces the noise in the original data to improve the accuracy of the model.
A Lite Fireworks Algorithm for Optimization
The fireworks algorithm is an optimization algorithm for simulating the explosion phenomenon of fireworks.
RHO ($ρ$): Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding
Dialogue systems can leverage large pre-trained language models and knowledge to generate fluent and informative responses.
Clozer: Adaptable Data Augmentation for Cloze-style Reading Comprehension
Task-adaptive pre-training (TAPT) alleviates the lack of labelled data and provides performance lift by adapting unlabelled data to downstream task.
VScript: Controllable Script Generation with Visual Presentation
In order to offer a customized script tool and inspire professional scriptwriters, we present VScript.
A Pseudo Label-wise Attention Network for Automatic ICD Coding
The label-wise attention mechanism is widely used in automatic ICD coding because it can assign weights to every word in full Electronic Medical Records (EMR) for different ICD codes.
BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions
Therefore, we hope to develop a novel supervised learning method to learn the PPAs and DDAs effectively and thereby improve the prediction performance of the specific task of DPI.
Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation
Based on which, we further find that there is redundancy among the dimensions of latent variable, and the lengths and sentence patterns of the responses can be strongly correlated to each dimension of the latent variable.
