activity
20132020
most citedCross-Target Stance Classification with Self-Attention Networks

6 citations · 22 across the 10 of their papers we have counts for

collaborators

11 papers

cs.CL2020★ 6 cited

DAN: Dual-View Representation Learning for Adapting Stance Classifiers to New Domains

Chang Xu, Cecile Paris, Surya Nepal +3

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 app…

cs.CL2019

Figurative Usage Detection of Symptom Words to Improve Personal Health Mention Detection

Adith Iyer, Aditya Joshi, Sarvnaz Karimi +2

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…

cs.CL2019★ 1 cited

A Comparison of Word-based and Context-based Representations for Classification Problems in Health Informatics

Aditya Joshi, Sarvnaz Karimi, Ross Sparks +2

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 cont…

cs.CL2019★ 1 cited

Recognising Agreement and Disagreement between Stances with Reason Comparing Networks

Chang Xu, Cecile Paris, Surya Nepal +1

We identify agreement and disagreement between utterances that express stances towards a topic of discussion. Existing methods focus mainly on conversational settings, where dialog…

cs.CL2019★ 3 cited

Survey of Text-based Epidemic Intelligence: A Computational Linguistic Perspective

Aditya Joshi, Sarvnaz Karimi, Ross Sparks +2

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 informa…

cs.CL2018★ 6 cited

Cross-Target Stance Classification with Self-Attention Networks

Chang Xu, Cecile Paris, Surya Nepal +1

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 wo…

stat.ME2016★ 1 cited

Monitoring communication outbreaks among an unknown team of actors in dynamic networks

Ross Sparks, James D. Wilson

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 base…

stat.OT2016★ 3 cited

An overview and perspective on social network monitoring

William H. Woodall, Meng J. Zhao, Kamran Paynabar +2

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…

stat.AP2015

Modelling Hospital length of stay using convolutive mixtures distributions

Adrien Ickowicz, Ross Sparks

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 statistica…

stat.AP2013★ 1 cited

Spatio-Temporal Disease Surveillance: Forward Selection Scan Statistic

Ross Sparks, Adrien Ickowicz

The scan statistic sets the benchmark for spatio-temporal surveillance methods with its popularity. In its simplest form it scans the target area and time to find regions with dise…

stat.AP2013

Estimation of an Origin/Destination matrix: Application to a ferry transport data

Adrien Ickowicz, Ross Sparks

The estimation of the number of passengers with the identical journey is a common problem for public transport authorities. This problem is also known as the Origin- Destination es…