Ross Sparks
16 papers 401 citations h-index 7 2004–2020
Cross-Target Stance Classification with Self-Attention Networks
In stance classification, the target on which the stance is made defines the boundary of the task, and a classifier is usually trained for prediction on the same target. In this work, we explore...
Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective
Epidemic intelligence deals with the detection of disease outbreaks using formal (such as hospital records) and informal sources (such as user-generated text on the web) of information. In this...
DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains
We address the issue of having a limited number of annotations for stance classification in a new domain, by adapting out-of-domain classifiers with domain adaptation. Existing approaches often...
A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics
Distributed representations of text can be used as features when training a statistical classifier. These representations may be created as a composition of word vectors or as context-based...
Recognising Agreement and Disagreement between Stances with Reason Comparing Networks
We identify agreement and disagreement between utterances that express stances towards a topic of discussion. Existing methods focus mainly on conversational settings, where dialogic features are...
An overview and perspective on social network monitoring
In this expository paper we give an overview of some statistical methods for the monitoring of social networks. We discuss the advantages and limitations of various methods as well as some...
Monitoring communication outbreaks among an unknown team of actors in dynamic networks
This paper investigates the detection of communication outbreaks among a small team of actors in time-varying networks. We propose monitoring plans for known and unknown teams based on...