431 citations · 857 across the 69 of their papers we have counts for
11 papers · 1 filter
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…
Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm
Bjarke Felbo, Alan Mislove, Anders Søgaard +2
NLP tasks are often limited by scarcity of manually annotated data. In social media sentiment analysis and related tasks, researchers have therefore used binarized emoticons and sp…
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…
A Survey Of Cross-lingual Word Embedding Models
Sebastian Ruder, Ivan Vulić, Anders Søgaard
Cross-lingual representations of words enable us to reason about word meaning in multilingual contexts and are a key facilitator of cross-lingual transfer when developing natural l…
Latent Multi-task Architecture Learning
Sebastian Ruder, Joachim Bingel, Isabelle Augenstein +1
Multi-task learning (MTL) allows deep neural networks to learn from related tasks by sharing parameters with other networks. In practice, however, MTL involves searching an enormou…
Multi-Task Learning of Keyphrase Boundary Classification
Isabelle Augenstein, Anders Søgaard
Keyphrase boundary classification (KBC) is the task of detecting keyphrases in scientific articles and labelling them with respect to predefined types. Although important in practi…