WINS: Web Interface for Network Science via Natural Language Distributed Representations

Dario Borrelli, Razieh Saremi, Sri Vallabhaneni, Antonio Pugliese, Rohit Shankar, Denisse Martinez-Mejorado, Luca Iandoli, Jose Emmanuel Ramirez-Marquez, Carlo Lipizzi

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This work proposes a novel approach to visually interact with semantic networks constructed via natural language processing techniques. The proposed web interface, WINS, allows the user to select a textual document to be analyzed, choose the algorithm to construct the semantic network, and visualize the network with its metrics. Unlike previous works, which are typically based on co-occurrence matrix for constructing the text network, the proposed interface embeds an additional approach based on the combination of network science with distributed representations of words and phrases.

Original languageEnglish
Title of host publicationHCI International 2020 - Posters - 22nd International Conference, HCII 2020, Proceedings
EditorsConstantine Stephanidis, Margherita Antona
Pages614-621
Number of pages8
DOIs
StatePublished - 2020
Event22nd International Conference on Human-Computer Interaction, HCII 2020 - Copenhagen, Denmark
Duration: 19 Jul 202024 Jul 2020

Publication series

NameCommunications in Computer and Information Science
Volume1224 CCIS
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference22nd International Conference on Human-Computer Interaction, HCII 2020
Country/TerritoryDenmark
CityCopenhagen
Period19/07/2024/07/20

Keywords

  • Distributional hypothesis
  • Natural language
  • Networks

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