Year: 2019
Type: conference-paper
Abstract: In order for coreference resolution systems to be useful in practice, they must be able to generalize to new text.In this work, we demonstrate that the performance of the state-of-the-art system decreases when the names of PER and GPE named entities in the CoNLL dataset are changed to names that do not occur in the training set.We use the technique of adversarial gradient-based training to retrain the state-of-the-art system and demonstrate that the retrained system achieves higher performance on the CoNLL dataset (both with and without the change of named entities) and the GAP dataset.Original: But Dirk Van Dongen , president of the National Association of Wholesaler -Distributors , said that last month 's rise " is n't as bad an omen " as the 0.9 % figure suggests ." If you examine the data carefully , the increase is concentrated in energy and motor vehicle prices , rather than being a broad -based advance in the prices of consumer and industrial goods , " he explained .
DOI: 10.18653/v1/s19-1021
Authors: Sanjay Subramanian, Dan Roth
Institution: University of Pennsylvania
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Award: G2515541506
OpenAlex ID: W2955406259