3 citations · 7 across the 3 of their papers we have counts for
6 papers
Attention Guided Dialogue State Tracking with Sparse Supervision
Shuailong Liang, Lahari Poddar, Gyuri Szarvas
Existing approaches to Dialogue State Tracking (DST) rely on turn level dialogue state annotations, which are expensive to acquire in large scale. In call centers, for tasks like m…
SemEval-2020 Task 4: Commonsense Validation and Explanation
Cunxiang Wang, Shuailong Liang, Yili Jin +3
In this paper, we present SemEval-2020 Task 4, Commonsense Validation and Explanation (ComVE), which includes three subtasks, aiming to evaluate whether a system can distinguish a…
Does It Make Sense? And Why? A Pilot Study for Sense Making and Explanation
Cunxiang Wang, Shuailong Liang, Yue Zhang +2
Introducing common sense to natural language understanding systems has received increasing research attention. It remains a fundamental question on how to evaluate whether a system…
Who Blames Whom in a Crisis? Detecting Blame Ties from News Articles Using Neural Networks
Shuailong Liang, Olivia Nicol, Yue Zhang
Blame games tend to follow major disruptions, be they financial crises, natural disasters or terrorist attacks. To study how the blame game evolves and shapes the dominant crisis n…
Subword Encoding in Lattice LSTM for Chinese Word Segmentation
Jie Yang, Yue Zhang, Shuailong Liang
We investigate a lattice LSTM network for Chinese word segmentation (CWS) to utilize words or subwords. It integrates the character sequence features with all subsequences informat…
Design Challenges and Misconceptions in Neural Sequence Labeling
Jie Yang, Shuailong Liang, Yue Zhang
We investigate the design challenges of constructing effective and efficient neural sequence labeling systems, by reproducing twelve neural sequence labeling models, which include…