431 citations · 857 across the 69 of their papers we have counts for
5 papers · 2 filters
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Natural-language processing of historical documents is complicated by the abundance of variant spellings and lack of annotated data.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…
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…
Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss
Barbara Plank, Anders Søgaard, Yoav Goldberg
Bidirectional long short-term memory (bi-LSTM) networks have recently proven successful for various NLP sequence modeling tasks, but little is known about their reliance to input r…
Empirical Gaussian priors for cross-lingual transfer learning
Anders Søgaard
Sequence model learning algorithms typically maximize log-likelihood minus the norm of the model (or minimize Hamming loss + norm). In cross-lingual part-of-speech (POS) tagging, o…