1 code implementation • NAACL 2022 • Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Haoran Li, Mona Diab
One goal of answer summarization is to produce a summary that reflects the range of answer perspectives.
no code implementations • 17 Apr 2021 • Alexander R. Fabbri, Xiaojian Wu, Srini Iyer, Mona Diab
A major obstacle for multi-perspective, abstractive answer summarization is the absence of a dataset to provide supervision for producing such summaries.
no code implementations • 18 Nov 2017 • Johan Bjorck, Yiwei Bai, Xiaojian Wu, Yexiang Xue, Mark C. Whitmore, Carla Gomes
Cascades represent rapid changes in networks.
no code implementations • 23 May 2017 • Xiaojian Wu, Yexiang Xue, Bart Selman, Carla P. Gomes
In this paper, we consider a more realistic setting where multiple edges are not independent due to natural disasters or regional events that make the states of multiple edges stochastically correlated.
no code implementations • 1 Dec 2016 • Xiaojian Wu, Akshat Kumar, Daniel Sheldon, Shlomo Zilberstein
We therefore address the robust river network design problem where the goal is to optimize river connectivity for fish movement by removing barriers.
no code implementations • NeurIPS 2014 • Xiaojian Wu, Daniel R. Sheldon, Shlomo Zilberstein
We investigate the problem of stochastic network design in bidirected trees.