HyEnA: A Hybrid Method for Extracting Arguments from Opinions

Michiel Van Der Meer*, Enrico Liscio, Catholijn M. Jonker, Aske Plaat, Piek Vossen, Pradeep K. Murukannaiah

*Corresponding author for this work

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

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Abstract

The key arguments underlying a large and noisy set of opinions help understand the opinions quickly and accurately. Fully automated methods can extract arguments but (1) require large labeled datasets and (2) work well for known viewpoints, but not for novel points of view. We propose HyEnA, a hybrid (human + AI) method for extracting arguments from opinionated texts, combining the speed of automated processing with the understanding and reasoning capabilities of humans. We evaluate HyEnA on three feedback corpora. We find that, on the one hand, HyEnA achieves higher coverage and precision than a state-of-the-art automated method, when compared on a common set of diverse opinions, justifying the need for human insight. On the other hand, HyEnA requires less human effort and does not compromise quality compared to (fully manual) expert analysis, demonstrating the benefit of combining human and machine intelligence.

Original languageEnglish
Title of host publicationHHAI2022
Subtitle of host publicationAugmenting Human Intellect - Proceedings of the 1st International Conference on Hybrid Human-Artificial Intelligence
EditorsStefan Schlobach, Maria Perez-Ortiz, Myrthe Tielman
PublisherIOS Press
Pages17-31
Number of pages15
ISBN (Electronic)9781643683089
DOIs
Publication statusPublished - 2022
Event1st International Conference on Hybrid Human-Artificial Intelligence, HHAI 2022 - Amsterdam, Netherlands
Duration: 13 Jun 202217 Jun 2022

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume354
ISSN (Print)0922-6389

Conference

Conference1st International Conference on Hybrid Human-Artificial Intelligence, HHAI 2022
Country/TerritoryNetherlands
CityAmsterdam
Period13/06/2217/06/22

Keywords

  • argument extraction
  • hybrid intelligence
  • natural language processing

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