86 citations · 305 across the 37 of their papers we have counts for
3 papers · 2 filters
Neural Architectures for Biological Inter-Sentence Relation Extraction
Enrique Noriega-Atala, Peter M. Lovett, Clayton T. Morrison +1
We introduce a family of deep-learning architectures for inter-sentence relation extraction, i.e., relations where the participants are not necessarily in the same sentence. We app…
How May I Help You? Using Neural Text Simplification to Improve Downstream NLP Tasks
Hoang Van, Zheng Tang, Mihai Surdeanu
The general goal of text simplification (TS) is to reduce text complexity for human consumption. This paper investigates another potential use of neural TS: assisting machines perf…
Cheap and Good? Simple and Effective Data Augmentation for Low Resource Machine Reading
Hoang Van, Vikas Yadav, Mihai Surdeanu
We propose a simple and effective strategy for data augmentation for low-resource machine reading comprehension (MRC). Our approach first pretrains the answer extraction components…