Git Product home page Git Product logo

PAN Shared Task Series's Projects

alberts17 icon alberts17

Code for the competition of PAN (2017) mentioned in the paper

arun09 icon arun09

Reimplementation of the authorship attribution approach described in "R. Arun, V. Suresh, and C.E. Veni Madhavan. Stopword graphs and authorship attribution in text corpora. In Proc. of the 3rd IEEE ICSC, pp. 192-196, 2009" as part of the ECIR 2016 reproducibility study "Who Wrote the Web?"

ashraf19 icon ashraf19

CLEF 19 Author Profiling Using Stylometry approach

bacciu19a icon bacciu19a

In this work, we present our approach for the Author Profiling task of PAN 2019. The task is divided into two sub-problems, bot, and gender detection, for two different languages: English and Spanish.

bagnall15 icon bagnall15

An author identification system based on recur

benedetto02 icon benedetto02

Reimplementation of the authorship attribution approach described in "Dario Benedetto, Emanuele Caglioti, and Vittorio Loreto. Language trees and zipping. Physical Review Letters, 88 (4), 048702, 2002" as part of the ECIR 2016 reproducibility study "Who Wrote the Web?"

buda20 icon buda20

Our codes for our winning participation at the PAN 2020 Profiling Fake News Spreaders on Twitter task

burrows02 icon burrows02

Reimplementation of the authorship attribution approach described in "John F. Burrows. 'Delta': A measure of stylistic difference and a guide to likely authorship. Literary and Linguistic Computing, 17(3), 267-287, 2002" as part of the ECIR 2016 reproducibility study "Who Wrote the Web?"

daneshvar18 icon daneshvar18

The best-performing team in textual classification at the PAN 2018 Author Profiling shared task—Gender identification in Twitter

devel01 icon devel01

Reimplementation of the authorship attribution approach described in "Olivier de Vel, Alison M. Anderson, Malcolm W. Corney, and George M. Mohay. Mining e-mail content for author identification forensics. SIGMOD Record, 30(4), 55-64, 2001" as part of the ECIR 2016 reproducibility study "Who Wrote the Web?"

downloads icon downloads

The downloads directory for the pan.webis.de web page.

duan20 icon duan20

Repository for RMIT participation at the "Profiling Fake News Spreaders on Twitter" at PAN @ CLEF 2020

gagala18 icon gagala18

Code for the PAN shared task contest 2018

gopalpatra18 icon gopalpatra18

Gender detection in Twitter@Author Profiling at PAN2018

grivas15 icon grivas15

Pan Author Profiling 2015 submission of the NCSR Demokritos team

hosseinia18 icon hosseinia18

A Parallel Hierarchical Attention Network for Style Change Detection

ispas19 icon ispas19

Bots and Gender Profiling task implementation

iyer20 icon iyer20

Solution with the best accuracy for the Style Change Detection task for the competition PAN @ CLEF 2020

jairescalante11 icon jairescalante11

Reimplementation of the authorship attribution approach described in "Hugo Jair Escalante, Thamar Solorio, and Manuel Montes-y-Gómez. Local histograms of character n-grams for authorship attribution. In Proc. of ACL, pp. 288-298, 2011" as part of the ECIR 2016 reproducibility study "Who Wrote the Web?"

keselj03 icon keselj03

Reimplementation of the authorship attribution approach described in "Vlado Kešelj, Fuchun Peng, Nick Cercone, and Calvin Thomas. N-gram-based author profiles for authorship attribution. In Proc. of ACL. pp. 255-264, 2003" as part of the ECIR 2016 reproducibility study "Who Wrote the Web?"

khmelev03 icon khmelev03

Reimplementation of the authorship attribution approach described in "Dmitry V. Khmelev and William J. Teahan. A repetition based measure for verification of text collections and for text categorization. In Proc. of SIGIR, pp. 104-110, 2003" as part of the ECIR 2016 reproducibility study "Who Wrote the Web?"

kocher15a icon kocher15a

Author Verification model for PAN at CLEF 2015

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.