24 citations · 34 across the 18 of their papers we have counts for
6 papers · 1 filter
Supertagging the Long Tail with Tree-Structured Decoding of Complex Categories
Jakob Prange, Nathan Schneider, Vivek Srikumar
Although current CCG supertaggers achieve high accuracy on the standard WSJ test set, few systems make use of the categories' internal structure that will drive the syntactic deriv…
UnQovering Stereotyping Biases via Underspecified Questions
Tao Li, Tushar Khot, Daniel Khashabi +2
While language embeddings have been shown to have stereotyping biases, how these biases affect downstream question answering (QA) models remains unexplored. We present UNQOVER, a g…
A Simple Global Neural Discourse Parser
Yichu Zhou, Omri Koshorek, Vivek Srikumar +1
Discourse parsing is largely dominated by greedy parsers with manually-designed features, while global parsing is rare due to its computational expense. In this paper, we propose a…
Learning Constraints for Structured Prediction Using Rectifier Networks
Xingyuan Pan, Maitrey Mehta, Vivek Srikumar
Various natural language processing tasks are structured prediction problems where outputs are constructed with multiple interdependent decisions. Past work has shown that domain k…
INFOTABS: Inference on Tables as Semi-structured Data
Vivek Gupta, Maitrey Mehta, Pegah Nokhiz +1
In this paper, we observe that semi-structured tabulated text is ubiquitous; understanding them requires not only comprehending the meaning of text fragments, but also implicit rel…
Structured Tuning for Semantic Role Labeling
Tao Li, Parth Anand Jawale, Martha Palmer +1
Recent neural network-driven semantic role labeling (SRL) systems have shown impressive improvements in F1 scores. These improvements are due to expressive input representations, w…