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Found 6 papers, 2 papers with code
Logic-Guided Message Generation from Raw Real-Time Sensor Data
We find that formulating the task as an end-to-end problem leads to two major challenges in content selection – the sensor data is both redundant and diverse across environments, thereby making it hard for the encoders to select and reason on the data.
A Dataset for Pharmacovigilance in German, French, and Japanese: Annotating Adverse Drug Reactions across Languages
User-generated data sources have gained significance in uncovering Adverse Drug Reactions (ADRs), with an increasing number of discussions occurring in the digital world.
Decorate the Examples: A Simple Method of Prompt Design for Biomedical Relation Extraction
In this paper, we investigate prompting for biomedical relation extraction, with experiments on the ChemProt dataset.
On Training Instance Selection for Few-Shot Neural Text Generation
In this work, we present a study on training instance selection in few-shot neural text generation.
Time-Aware Ancient Chinese Text Translation and Inference
In this paper, we aim to address the challenges surrounding the translation of ancient Chinese text: (1) The linguistic gap due to the difference in eras results in translations that are poor in quality, and (2) most translations are missing the contextual information that is often very crucial to understanding the text.
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning
Efforts have been dedicated to improving text generation systems by changing the order of training samples in a process known as curriculum learning.
