Papers with coreference resolution-namely Stanford deep-coref-
Sanaphor++: Combining Deep Neural Networks with Semantics for Coreference Resolution (L18-1)
Copied to clipboard
Julien Plu, Roman Prokofyev, Alberto Tonon, Philippe Cudré-Mauroux, Djellel Eddine Difallah, Raphaël Troncy, Giuseppe Rizzo
| Challenge: | Coreference resolution is a challenging task in Natural Language Processing . since a few years, the biggest step forward has been made using deep neural networks . |
| Approach: | They propose to improve coreference resolution by adding semantic features to a top-level deep neural network system . they evaluate a shared task dataset and compare it to the state-of-the-art system based on Stanford deep-coref . |
| Outcome: | The proposed system achieves 1.13% gain over the CoNLL 2012 dataset and the state-of-the-art system. |