Frame Semantics for Social NLP in Italian: Analyzing Responsibility Framing in Femicide News Reports

Gosse Minnema*, Sara Gemelli, Chiara Zanchi, Viviana Patti, Tommaso Caselli, Malvina Nissim

*Corresponding author for this work

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

165 Downloads (Pure)

Abstract

We propose using a FrameNet-based approach for analyzing how socially relevant events are framed in media discourses. Taking femicides as an example, we perform a preliminary investigation on a large dataset of news reports and event data covering recent femicides in Italy. First, we revisit the EVALITA 2011 shared task on Italian frame labeling, and test a recent multilingual frame semantic parser against this benchmark. Then, we experiment with specializing this model for Italian and perform a human evaluation to test our model’s real-world applicability. We show how FrameNet-based analyses can help to identify linguistic constructions that background the agentivity and responsibility of femicide perpetrators in Italian news.
Original languageEnglish
Title of host publicationProceedings of the Eighth Italian Conference on Computational Linguistics
EditorsElisabetta Fersini, Marco Passarotti, Viviana Patti
PublisherCEUR Workshop Proceedings (CEUR-WS.org)
Number of pages8
Publication statusPublished - 2021
EventItalian Conference on Computational Linguistics 2021: CLiC-it 2021 - Milan, Italy
Duration: 26-Jan-202228-Jan-2022
Conference number: 8

Conference

ConferenceItalian Conference on Computational Linguistics 2021
Country/TerritoryItaly
CityMilan
Period26/01/202228/01/2022

Keywords

  • frame semantics
  • perspectives
  • computational linguistics
  • NLP

Fingerprint

Dive into the research topics of 'Frame Semantics for Social NLP in Italian: Analyzing Responsibility Framing in Femicide News Reports'. Together they form a unique fingerprint.

Cite this