20 citations · 20 across the 5 of their papers we have counts for
5 papers · 1 filter
Modelling Emotion Dynamics in Song Lyrics with State Space Models
Yingjin Song, Daniel Beck
Most previous work in music emotion recognition assumes a single or a few song-level labels for the whole song. While it is known that different emotions can vary in intensity with…
Generating Diverse Descriptions from Semantic Graphs
Jiuzhou Han, Daniel Beck, Trevor Cohn
Text generation from semantic graphs is traditionally performed with deterministic methods, which generate a unique description given an input graph. However, the generation proble…
Graph-to-Sequence Learning using Gated Graph Neural Networks
Daniel Beck, Gholamreza Haffari, Trevor Cohn
Many NLP applications can be framed as a graph-to-sequence learning problem. Previous work proposing neural architectures on this setting obtained promising results compared to gra…
Exploring Prediction Uncertainty in Machine Translation Quality Estimation
Daniel Beck, Lucia Specia, Trevor Cohn
Machine Translation Quality Estimation is a notoriously difficult task, which lessens its usefulness in real-world translation environments. Such scenarios can be improved if quali…
Speed-Constrained Tuning for Statistical Machine Translation Using Bayesian Optimization
Daniel Beck, Adrià de Gispert, Gonzalo Iglesias +2
We address the problem of automatically finding the parameters of a statistical machine translation system that maximize BLEU scores while ensuring that decoding speed exceeds a mi…