Global Normalization of Convolutional Neural Networks for Joint Entity and Relation Classification

We introduce globally normalized convolutional neural networks for joint entity classification and relation extraction. In particular, we propose a way to utilize a linear-chain conditional random field output layer for predicting entity types and relations between entities at the same time. Our experiments show that global normalization outperforms a locally normalized softmax layer on a benchmark dataset.Comment: EMNLP 201

Spartan Daily, May 13, 2009

Volume 132, Issue 55https://scholarworks.sjsu.edu/spartandaily/10592/thumbnail.jp

A Fully Convolutional Tri-branch Network (FCTN) for Domain Adaptation

A domain adaptation method for urban scene segmentation is proposed in this work. We develop a fully convolutional tri-branch network, where two branches assign pseudo labels to images in the unlabeled target domain while the third branch is trained with supervision based on images in the pseudo-labeled target domain. The re-labeling and re-training processes alternate. With this design, the tri-branch network learns target-specific discriminative representations progressively and, as a result, the cross-domain capability of the segmenter improves. We evaluate the proposed network on large-scale domain adaptation experiments using both synthetic (GTA) and real (Cityscapes) images. It is shown that our solution achieves the state-of-the-art performance and it outperforms previous methods by a significant margin.Comment: Accepted by ICASSP 201

The turn to precarity in twenty-first century fiction

This is an open access article. Copyright © 2014 by Walter de Gruyter GmbH.Recent years have seen several attempts by writers and critics to understand the changed sensibility in post-9/11 fiction through a variety of new -isms. This essay explores this cultural shift in a different way, finding a ‘turn to precarity’ in twenty-first century fiction characterised by a renewal of interest in the flow and foreclosure of affect, the resurgence of questions about vulnerability and our relationships to the other, and a heightened awareness of the social dynamics of seeing. The essay draws these tendencies together via the work of Judith Butler in Frames of War, in an analysis of Trezza Azzopardi’s quasi-biographical study of precarious life, Remember Me