Parisa Kordjamshidi

EDISON: Feature Extraction for NLP, Simplified

2016

When designing Natural Language Processing (NLP) applications that use Machine Learning (ML) techniques, feature extraction becomes a significant part of the development effort, whether developing a new application or attempting to reproduce results reported for …

Transfer Learning with Synthetic Corpora for Spatial Role Labeling and Reasoning

2022

Recent research shows synthetic data as a source of supervision helps pretrained language models (PLM) transfer learning to new target tasks/domains. However, this idea is less explored for spatial language. We provide two new data …