PMCID: PMC3503760This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited

Giacco, D

McCabe, R

Kallert, T

Hansson, L

Fiorillo, A

Priebe, S

PLoS ONE

English

Despite being the focus of intensive research, evaluationof algorithms that generate referring expressionsis still in its infancy. We describe a corpusbasedevaluation methodology, applied to a numberof classic algorithms in this area. The methodologyfocuses on balance and semantic transparency toenable comparison of human and algorithmic output.Although the Incremental Algorithm emergesas the best match, we found that its dependency onmanually-set parameters makes its performance difficultto predict

Gatt, A.

van der Sluis, Ielka

van Deemter, Kees

ARTS repository - University of Groningen

Evaluating algorithms for the Generation of Referring Expressions using a balanced corpus

Despite being the focus of intensive research, evaluation of algorithms that generate referring expressions is still in its infancy. We describe a corpusbased evaluation methodology, applied to a number of classic algorithms in this area. The methodology focuses on balance and semantic transparency to enable comparison of human and algorithmic output. Although the Incremental Algorithm emerges as the best match, we found that its dependency on manually-set parameters makes its performance difficult to predict

NARCIS 

Domenico Giacco

Rose McCabe

Thomas Kallert

Lars Hansson

Andrea Fiorillo

Stefan Priebe

Crossref

Friends and Symptom Dimensions in Patients with Psychosis: A Pooled Analysis

Abstract Despite being the focus of intensive research, evaluation of algorithms that generate referring expressions is still in its infancy. We describe a corpusbased evaluation methodology, applied to a number of classic algorithms in this area. The methodology focuses on balance and semantic transparency to enable comparison of human and algorithmic output. Although the Incremental Algorithm emerges as the best match, we found that its dependency on manually-set parameters makes its performance difficult to predict

Albert Gatt

Ielka Van Der Sluis

Kees Van Deemter

CiteSeerX

Evaluating algorithms for the generation of referring expressions using a balanced corpus

Queen Mary Research Online

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University of Groningen

<div><h3>Background</h3><p>Having friends is associated with more favourable clinical outcomes and a higher quality of life in mental disorders. Patients with schizophrenia have fewer friends than other mentally ill patients. No large scale studies have evaluated so far what symptom dimensions of schizophrenia are associated with the lack of friendships.</p> <h3>Methods</h3><p>Data from four multi-centre studies on outpatients with schizophrenia and related disorders (ICD F20-29) were included in a pooled analysis (N = 1396). We established whether patients had close friends and contact with friends by using the equivalent items on friendships of the Manchester Short Assessment of Quality of Life or of the Lancashire Quality of Life Profile. Symptoms were measured by the Brief Psychiatric Rating Scale or by the identical items included in the Positive and Negative Syndrome Scale.</p> <h3>Results</h3><p>Seven hundred and sixty-nine patients (55.1%) had seen a friend in the previous week and 917 (65.7%) had someone they regarded as a close friend. Low levels of negative symptoms and hostility were significantly associated with having a close friend and contact with a friend. Overall, almost twice as many patients with absent or mild negative symptoms had met a friend in the last week, compared with those with moderate negative symptoms.</p> <h3>Conclusions</h3><p>Higher levels of negative symptoms and hostility are specifically associated with the lack of friendships in patients with psychotic disorders. These findings suggest the importance of developing effective treatments for negative symptoms and hostility in order to improve the probability of patients with schizophrenia to have friends.</p> </div

Domenico Giacco (117368)

Rose McCabe (117370)

Thomas Kallert (117372)

Lars Hansson (117375)

Andrea Fiorillo (117378)

Stefan Priebe (117382)

The Francis Crick Institute

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.110.7944

Friends and Symptom Dimensions in Patients with Psychosis: A Pooled Analysis

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