4 citations · 4 across the 2 of their papers we have counts for
3 papers
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann +122
Data augmentation is an important component in the robustness evaluation of models in natural language processing (NLP) and in enhancing the diversity of the data they are trained…
Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction
Mahsa Yarmohammadi, Shijie Wu, Marc Marone +10
Zero-shot cross-lingual information extraction (IE) describes the construction of an IE model for some target language, given existing annotations exclusively in some other languag…
Probabilistic Neural Programs
Kenton W. Murray, Jayant Krishnamurthy
We present probabilistic neural programs, a framework for program induction that permits flexible specification of both a computational model and inference algorithm while simultan…