Zobrazeno 1 - 10
of 251
pro vyhledávání: '"Sparks, Ross"'
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 align different domains in a single, global feature spac
Externí odkaz:
http://arxiv.org/abs/2003.06514
Autor:
Evans, David, Sparks, Ross
Publikováno v:
In Journal of Biomedical Informatics October 2023 146
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 sentence vectors. We compare the two kinds of representation
Externí odkaz:
http://arxiv.org/abs/1906.05468
Personal health mention detection deals with predicting whether or not a given sentence is a report of a health condition. Past work mentions errors in this prediction when symptom words, i.e. names of symptoms of interest, are used in a figurative s
Externí odkaz:
http://arxiv.org/abs/1906.05466
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 used for (dis)agreement inference. We extend this scop
Externí odkaz:
http://arxiv.org/abs/1906.01392
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 survey, we discuss approaches for epidemic intelligence
Externí odkaz:
http://arxiv.org/abs/1903.05801
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 the potential for generalizing classifiers between diff
Externí odkaz:
http://arxiv.org/abs/1805.06593
Autor:
Sparks, Ross, Wilson, James D.
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 generalizations of the exponentially weighted moving average (EWM
Externí odkaz:
http://arxiv.org/abs/1606.09308
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 relevant issues. One of our primary contributions is to give
Externí odkaz:
http://arxiv.org/abs/1603.09453
Autor:
Ickowicz, Adrien, Sparks, Ross
Length of hospital stay (LOS) is an important indicator of the hospital activity and management of health care. The skewness in the distribution of LOS poses problems in statistical modelling because it fails to adequately follow the usual traditiona
Externí odkaz:
http://arxiv.org/abs/1512.02688