12 citations · 12 across the 1 of their papers we have counts for
5 papers · 1 filter
Multi-Task Semantic Dependency Parsing with Policy Gradient for Learning Easy-First Strategies
Shuhei Kurita, Anders Søgaard
In Semantic Dependency Parsing (SDP), semantic relations form directed acyclic graphs, rather than trees. We propose a new iterative predicate selection (IPS) algorithm for SDP. Ou…
Limitations of Cross-Lingual Learning from Image Search
Mareike Hartmann, Anders Soegaard
Cross-lingual representation learning is an important step in making NLP scale to all the world's languages. Recent work on bilingual lexicon induction suggests that it is possible…
Is writing style predictive of scientific fraud?
Chloé Braud, Anders Søgaard
The problem of detecting scientific fraud using machine learning was recently introduced, with initial, positive results from a model taking into account various general indicators…
Identifying beneficial task relations for multi-task learning in deep neural networks
Joachim Bingel, Anders Søgaard
Multi-task learning (MTL) in deep neural networks for NLP has recently received increasing interest due to some compelling benefits, including its potential to efficiently regulari…
Improving sentence compression by learning to predict gaze
Sigrid Klerke, Yoav Goldberg, Anders Søgaard
We show how eye-tracking corpora can be used to improve sentence compression models, presenting a novel multi-task learning algorithm based on multi-layer LSTMs. We obtain performa…