95 citations · 138 across the 9 of their papers we have counts for
3 papers · 1 filter
Neural Motifs: Scene Graph Parsing with Global Context
Rowan Zellers, Mark Yatskar, Sam Thomson +1
We investigate the problem of producing structured graph representations of visual scenes. Our work analyzes the role of motifs: regularly appearing substructures in scene graphs.…
Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold
Swabha Swayamdipta, Sam Thomson, Chris Dyer +1
We present a new, efficient frame-semantic parser that labels semantic arguments to FrameNet predicates. Built using an extension to the segmental RNN that emphasizes recall, our b…
Deep Multitask Learning for Semantic Dependency Parsing
Hao Peng, Sam Thomson, Noah A. Smith
We present a deep neural architecture that parses sentences into three semantic dependency graph formalisms. By using efficient, nearly arc-factored inference and a bidirectional-L…