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Overview of the 3rd Author Profiling Task at PAN 2015

Francisco M. Rangel Pardo, Fabio Celli, Paolo Rosso, Martin Potthast, Benno Stein, Walter Daelemans
2015 Conference and Labs of the Evaluation Forum  
In this paper we describe and evaluate the corpora submitted to the PAN 2015 shared task on plagiarism detection for text alignment.  ...  We present an independent section for each submitted corpus including statistics, discussion of the obfuscation techniques employed, and assessment of the corpus quality.  ...  Conclusions In this paper we evaluated the quality of the corpora submitted at the PAN 2015 shared task on text alignment.  ... 
dblp:conf/clef/PardoCRPSD15 fatcat:o5bhkaycofgr3gmogn7rjde3de

Segmenting Target Audiences: Automatic Author Profiling using Tweets: Notebook for PAN at CLEF 2015

Mayte Giménez, Delia-Irazú Hernández, Ferran Plà
2015 Conference and Labs of the Evaluation Forum  
Finally, we will discuss how we applied this methodology to the 3rd Author Profiling Task at PAN 2015 and we will present the results we obtained.  ...  This paper describes a methodology proposed for author profiling using natural language processing and machine learning techniques. We used lexical information in the learning process.  ...  Acknowledgments This work has been partially funded by the projects, DIANA: DIscourse ANAlysis for knowledge understanding (MEC TIN2012-38603-C02-01) and ASLP-MULAN: Audio, Speech and Language Processing  ... 
dblp:conf/clef/GimenezHP15 fatcat:ylextuzbhfhhli3blmnhu5i5y4

MAPonSMS - Overview of the Multilingual SMS-based Author Profiling task at FIRE'18

Muhammad Sharjeel, Mehwish Fatima, Saba Anwar, Rao Muhammad Adeel Nawab
2018 Forum for Information Retrieval Evaluation  
This paper presents the overview of 1st International shared task of Multilingual Author Profiling on SMS (MAPonSMS) at Forum for Information Retrieval Evaluation (FIRE'18).  ...  The aim of the MAPon-SMS task is to identify the author's gender and age for a given multilingual (Roman Urdu and English) SMS messages profile, where each profile consists of an aggregation of SMS messages  ...  Conclusion In this paper, we present [6, 35, 21, 31, 33, 9, 23, 12] the results of the 1st International shared task of Multilingual Author Profiling on SMS (MAPonSMS) at FIRE'18.  ... 
dblp:conf/fire/SharjeelFAN18 fatcat:fhd5lya645g6deu3hlhnwdewqe

Author Profiling using Stylometric and Structural Feature Groupings

Andreas Grivas, Anastasia Krithara, George Giannakopoulos
2015 Conference and Labs of the Evaluation Forum  
In this paper we present an approach for the task of author profiling. We propose a coherent grouping of features combined with appropriate preprocessing steps for each group.  ...  The groups we used were stylometric and structural, featuring among others, trigrams and counts of twitter specific characteristics.  ...  In 2015, PAN featured 3 tasks, plagiarism detection, author identification and author profiling.  ... 
dblp:conf/clef/GrivasKG15 fatcat:kvwdsfwibvgn3awj7ihjtgjzba

Author Profiling Tracks at FIRE

Paolo Rosso, Francisco Rangel
2020 SN Computer Science  
In this chapter, we will focus on the description of three author profiling tracks, on their data creation as well as the result analysis.  ...  During the last 10 years of the FIRE initiative, we have been involved in the organization of more than ten tracks, with the aim of the creation of new resources in several languages that were made available  ...  In Table 2 , a summary on the number of authors per dataset is shown. Performance Measures Accuracy was used, as it was done in the PAN author profiling tasks at CLEF.  ... 
doi:10.1007/s42979-020-0073-1 fatcat:lnpfmywpkbc4tnhagaocvpwjky

Fine-grained analysis of language varieties and demographics

Francisco Rangel, Paolo Rosso, Wajdi Zaghouani, Anis Charfi
2020 Natural Language Engineering  
We compared the performance of this method with the best performing teams in the Author Profiling task at PAN 2017.  ...  We obtained an average accuracy of 92.08% versus 91.84% for the best performing team at PAN 2017. We also analyse the relationship of the language variety identification with the authors' gender.  ...  The statements made herein are solely the responsibility of the authors. References  ... 
doi:10.1017/s1351324920000108 fatcat:mdk2yxafbjffnhm5te3b7lscxe

PAN@FIRE: Overview of the PR-SOCO Track on Personality Recognition in SOurce COde [chapter]

Francisco Rangel, Fabio González, Felipe Restrepo, Manuel Montes, Paolo Rosso
2018 Lecture Notes in Computer Science  
Author profiling consists of predicting some author's characteristics (e.g. age, gender, personality) from her writing.  ...  After addressing at PAN@CLEF mainly age and gender identification, and also personality recognition in Twitter 1 , in this PAN@FIRE track on Personality Recognition from SOurce COde (PR-SOCO) we have addressed  ...  For example, i) the Workshop on Computational Personality Recognition [5] ; or ii) the Author Profiling task at PAN 2015 [25] with the objective of identifying age, gender and personality traits of  ... 
doi:10.1007/978-3-319-73606-8_1 fatcat:2kkuwe2zlvhknihgyypxlkci5y

Towards Improved Model Design for Authorship Identification: A Survey on Writing Style Understanding [article]

Weicheng Ma, Ruibo Liu, Lili Wang, Soroush Vosoughi
2020 arXiv   pre-print
We first describe our survey results on the current state of research in both sets of tasks and summarize existing achievements and problems in authorship-related tasks.  ...  Thus, in order to inspire future applications of deep learning methods in authorship-based tasks in ways that benefit the extraction of stylistic features, we survey authorship-based tasks and other tasks  ...  Overview of the cross-domain authorship attribution task at PAN 2019.  ... 
arXiv:2009.14445v1 fatcat:bnrh5e6rc5debo4apsoqn257nu

Content validation of common measures of functioning for young children against the International Classification of Functioning, Disability and Health and Code and Core Sets relevant to neurodevelopmental conditions

Emily D'Arcy, Kerry Wallace, Angela Chamberlain, Kiah Evans, Benjamin Milbourn, Sven Bölte, Andrew JO Whitehouse, Sonya Girdler
2021 Autism  
The measures that we looked at covered 21%–57% of all the codes and 19%–63% of the codes for lists specific to different conditions.  ...  These lists include body functions (the things a child's body or brain can do), activities and participation (the activities and tasks a child does) and environmental factors (parts of the environment  ...  This research will be used towards obtaining a Doctor of Philosophy (Occupational Therapy) by the first author.  ... 
doi:10.1177/13623613211036809 pmid:34369196 pmcid:PMC9008546 fatcat:2egruqunfvchvlcreiyv5hmyxa

The use of machine learning algorithms in recommender systems: A systematic review

Ivens Portugal, Paulo Alencar, Donald Cowan
2018 Expert systems with applications  
The goals of this study are to (i) identify trends in the use or research of machine learning algorithms in recommender systems; (ii) identify open questions in the use or research of machine learning  ...  The results of this study identify existing classes of recommender systems, characterize adopted machine learning approaches, discuss the use of big data technologies, identify types of machine learning  ...  The authors also thank the Natural Sciences and Engineering Research Council of Canada (NSERC), and the Ontario Research Fund of the Ontario Ministry of Research, Innovation, and Science for their financial  ... 
doi:10.1016/j.eswa.2017.12.020 fatcat:ychqiwi5wrfqlikndgv6gshtn4

Integrating Culture-based Antibiotic Resistance Profiles with Whole-genome Sequencing Data for 11,087 Clinical Isolates

Valentina Galata, Cédric C. Laczny, Christina Backes, Georg Hemmrich-Stanisak, Susanne Schmolke, Andre Franke, Eckart Meese, Mathias Herrmann, Lutz von Müller, Achim Plum, Rolf Müller, Cord Stähler (+2 others)
2019 Genomics, Proteomics & Bioinformatics  
The isolate collection and the analysis results have been integrated into GEAR-base, a resource available for academic research use free of charge at  ...  We collected genetic data (11,087 newly-sequenced whole genomes) and culture-based resistance profiles (10,991 out of the 11,087 isolates comprehensively tested against 22 antibiotics in total) of clinical  ...  Supplementary material Supplementary data to this article can be found online at  ... 
doi:10.1016/j.gpb.2018.11.002 pmid:31100356 pmcid:PMC6624217 fatcat:6cdvk4vrwjd6nonsav6t3awabe

Estimating Intelligence Quotient Using Stylometry and Machine Learning Techniques: A Review

Glory O. Adebayo, Roman V. Yampolskiy
2022 Big Data Mining and Analytics  
The task of trying to quantify a person's intelligence has been a goal of psychologists for over a century.  ...  In this paper, we review studies that have been done in IQ estimation and also that have been done in author profiling using stylometry and we conclude that based on the success of IQ estimation and author  ...  For PAN 2017, the task was for a group of researchers (22 teams) to tackle the author profiling task using a corpus compiled by extracting tweets from twitter.  ... 
doi:10.26599/bdma.2022.9020002 fatcat:426awpckabcvto3svay7cab6wu

Idiosyncratic but not Arbitrary: Learning Idiolects in Online Registers Reveals Distinctive yet Consistent Individual Styles [article]

Jian Zhu, David Jurgens
2021 arXiv   pre-print
The neural model achieves strong performance at authorship identification on short texts and through an analogy-based probing task, showing that the learned representations exhibit surprising regularities  ...  Through text perturbation, we quantify the relative contributions of different linguistic elements to idiolectal variation.  ...  Acknowledgements We thank Professor Patrice Beddor, Jiaxin Pei at the University of Michigan and Zuoyu Tian at the University of Indiana Bloomington for their helpful discussions.  ... 
arXiv:2109.03158v2 fatcat:wdpyhxqeuray3jn5ymtsrbh65a

CHASMplus Reveals the Scope of Somatic Missense Mutations Driving Human Cancers

Collin Tokheim, Rachel Karchin
2019 Cell Systems  
However, a remaining challenge is to increase the resolution of driver prediction from the level of genes to mutations because mutation-level predictions are more closely aligned with the goal of precision  ...  Applied to 8,657 tumor samples across 32 cancer types in The Cancer Genome Atlas (TCGA), CHASMplus identifies over 4,000 unique driver missense mutations in 240 genes, supporting a prominent role for rare  ...  the task of distinguishing the differences.  ... 
doi:10.1016/j.cels.2019.05.005 pmid:31202631 pmcid:PMC6857794 fatcat:5kznuxeiunfghjb7bwvaoe3kzm

ACCEPTED ABSTRACTS for the American Academy of Pediatric Neuropsychology (AAPdN) Virtual Conference 2021

2021 Journal of Pediatric Neuropsychology  
The authors debated on the use of gender-specific reference norms for interpreting self-and parent-report questionnaires.  ...  Of the existing literature, it was apparent that the medical terminology referring to transgender youth was variable and at times outdated and lacking in inclusivity.  ...  A prodromal phase usually precedes the onset of psychosis. Early preventative interventions should be feasible in this phase (Fusar-Poli &Van Os, 2013) .  ... 
doi:10.1007/s40817-021-00098-7 pmid:33996385 pmcid:PMC8108410 fatcat:imqjcfpnkzddbdxm7kncswqqea
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