32 citations · 68 across the 5 of their papers we have counts for
5 papers · 1 filter
Using Synthetic Data for Conversational Response Generation in Low-resource Settings
Gabriel Louis Tan, Adrian Paule Ty, Schuyler Ng +3
Response generation is a task in natural language processing (NLP) where a model is trained to respond to human statements. Conversational response generators take this one step fu…
Exploiting News Article Structure for Automatic Corpus Generation of Entailment Datasets
Jan Christian Blaise Cruz, Jose Kristian Resabal, James Lin +2
Transformers represent the state-of-the-art in Natural Language Processing (NLP) in recent years, proving effective even in tasks done in low-resource languages. While pretrained t…
Establishing Baselines for Text Classification in Low-Resource Languages
Jan Christian Blaise Cruz, Charibeth Cheng
While transformer-based finetuning techniques have proven effective in tasks that involve low-resource, low-data environments, a lack of properly established baselines and benchmar…
Localization of Fake News Detection via Multitask Transfer Learning
Jan Christian Blaise Cruz, Julianne Agatha Tan, Charibeth Cheng
The use of the internet as a fast medium of spreading fake news reinforces the need for computational tools that combat it. Techniques that train fake news classifiers exist, but t…
Evaluating Language Model Finetuning Techniques for Low-resource Languages
Jan Christian Blaise Cruz, Charibeth Cheng
Unlike mainstream languages (such as English and French), low-resource languages often suffer from a lack of expert-annotated corpora and benchmark resources that make it hard to a…