English Dataset for Automatic Forum Extraction

Authors

  • Jakub Sido University of West Bohemia, Faculty of Applied Sciences, NTIS – New Technologies for the Information Society
  • Miloslav Konopík University of West Bohemia, Faculty of Applied Sciences, NTIS – New Technologies for the Information Society
  • Ondřej Pražák University of West Bohemia, Faculty of Applied Sciences, NTIS – New Technologies for the Information Society

DOI:

https://doi.org/10.13053/cys-23-3-3259

Keywords:

Information retrieval, web discussion

Abstract

This paper describes the process of collecting, maintaining and exploiting an English dataset of web discussions. The dataset consists of many web discussions with hand-annotated posts in the context of a tree structure of a web page. Each post consists of username, date, text, and citations used by its author. The dataset contains 79 different websites with at least 500 pages from each. Each web page consists of a tree structure of HTML tags with texts taken from selected web pages. In the paper, we also describe algorithms trained on the dataset. The algorithms employ basic architectures (such as a bag of words with an SVM classifier and an LSTM network) to set a baseline for the dataset.

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Published

2019-09-25

Issue

Vol. 23 No. 3 (2019): Thematic issue: Computational Linguistics (Guest Editor A. Gelbukh)

Section

Articles of the Thematic Issue

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