16 citations · 33 across the 17 of their papers we have counts for
4 papers · 2 filters
Multi-task Learning of Negation and Speculation for Targeted Sentiment Classification
Andrew Moore, Jeremy Barnes
The majority of work in targeted sentiment analysis has concentrated on finding better methods to improve the overall results. Within this paper we show that these models are not r…
Named Entity Recognition without Labelled Data: A Weak Supervision Approach
Pierre Lison, Aliaksandr Hubin, Jeremy Barnes +1
Named Entity Recognition (NER) performance often degrades rapidly when applied to target domains that differ from the texts observed during training. When in-domain labelled data i…
Cross-lingual Emotion Intensity Prediction
Irean Navas Alejo, Toni Badia, Jeremy Barnes
Emotion intensity prediction determines the degree or intensity of an emotion that the author expresses in a text, extending previous categorical approaches to emotion detection. W…
A Systematic Comparison of Architectures for Document-Level Sentiment Classification
Jeremy Barnes, Vinit Ravishankar, Lilja Øvrelid +1
Documents are composed of smaller pieces - paragraphs, sentences, and tokens - that have complex relationships between one another. Sentiment classification models that take into a…