4 citations · 11 across the 6 of their papers we have counts for
6 papers
Parsing Universal Dependencies without training
Héctor Martínez Alonso, Željko Agić, Barbara Plank +1
We propose UDP, the first training-free parser for Universal Dependencies (UD). Our algorithm is based on PageRank and a small set of head attachment rules. It features two-step de…
Cross-lingual RST Discourse Parsing
Chloé Braud, Maximin Coavoux, Anders Søgaard
Discourse parsing is an integral part of understanding information flow and argumentative structure in documents. Most previous research has focused on inducing and evaluating mode…
Cross-Lingual Dependency Parsing with Late Decoding for Truly Low-Resource Languages
Michael Sejr Schlichtkrull, Anders Søgaard
In cross-lingual dependency annotation projection, information is often lost during transfer because of early decoding. We present an end-to-end graph-based neural network dependen…
Spikes as regularizers
Anders Søgaard
We present a confidence-based single-layer feed-forward learning algorithm SPIRAL (Spike Regularized Adaptive Learning) relying on an encoding of activation spikes. We adaptively u…
Improving historical spelling normalization with bi-directional LSTMs and multi-task learning
Marcel Bollmann, Anders Søgaard
Natural-language processing of historical documents is complicated by the abundance of variant spellings and lack of annotated data. A common approach is to normalize the spelling…
A Strong Baseline for Learning Cross-Lingual Word Embeddings from Sentence Alignments
Omer Levy, Anders Søgaard, Yoav Goldberg
While cross-lingual word embeddings have been studied extensively in recent years, the qualitative differences between the different algorithms remain vague. We observe that whethe…