Reference, Framing, and Perspective

2024 Workshop (LREC-COLING)

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1st Workshop on Reference, Framing, and Perspective 2024

Co-located with LREC-COLING 2024

Call for Papers

When something happens in the world, we have access to an unlimited range of ways (from lexical choices to specific syntactic structures) to refer to the same real-world event. We can chose to express information explicitly or imply it. Variations in reference may convey radically different perspectives. This process of making reference to something by adopting a specific perspective is also known as framing. Although previous work in this area is present (see Ali and Hassan (2022)’s survey for an overview), there is a lack of a unitary framework and only few targeted datasets (Chen et al., 2019) and tools based on Large Language Models exist (Minnema et al., 2022). In this workshop, we propose to adopt Frame Semantics (Fillmore, 1968, 1985, 2006) as a unifying theoretical framework and analysis method to understand the choices made in linguistic references to events. The semantic frames (expressed by predicates and roles) we choose give rise to our understanding, or framing, of an event. We aim to bring together different research communities interested in lexical and syntactic variation, referential grounding, frame semantics, and perspectives. We believe that there is significant overlap within the goals and interests of these communities, but not necessarily the common ground to enable collaborative work.

Referentially Grounded Shared Dataset

One way to study variation in framing is to conduct contrastive analyses of texts reporting on the same real-world event. Such an analysis can help to reveal the extent of variation in framing and possibly give rise to the underlying factors that lead to different choices in framing the same event. We collected such a corpus about the Eurovision Song Festival and make it available as a Shared Dataset for the Workshop. The purpose of this corpus is to enable exploratory analyses, facilitate discussion among participants, and, last but not least, make our workshop a real working workshop.

The corpus is composed of news articles reporting on the Eurovision Song Contest that took place in Rotterdam, the Netherlands (canceled in 2020 and held in 2021). The news articles have been collected using the structured data-to-text approach (Vossen et al., 2018). The corpus contains news articles in multiple languages. We invite participants to submit short and targeted analyses using the data (extended abstracts to be discussed in a hands-on data session). Participants are also free to use the data in regular contributions.

Read more about the shared data.

Regular Contributions

Regular contributions: We aim to lay the groundwork for such efforts. We invite contributions (regular long papers of 8 pages or short papers of 4 pages) targeting any of the following - non-exhaustive - list of topics:

COLING-LREC policy for submissions:

When submitting a paper from the START page, authors will be asked to provide essential information about resources (in a broad sense, i.e. also technologies, standards, evaluation kits, etc.) that have been used for the work described in the paper or are a new result of your research. Moreover, ELRA encourages all LREC-COLING authors to share the described LRs (data, tools, services, etc.) to enable their reuse and replicability of experiments (including evaluation ones).

Extended Abstracts

We invite extended abstracts (1,500 words maximum) about small analyses or experiments conducted on our Shared Data. The abstracts will be non-archival and discussed in a dedicated data session.


Please submit your contribution via this link: Submission link

You can select the appropriate paper category (long paper, short paper, extended abstract)

Invited speakers

Maria Antoniak

Vered Shwartz


Pia Sommerauer, Tommaso Caselli, Malvina Nissim, Levi Remijnse, Piek Vossen

Program Committee

Özge Alacam Jelke Bloem Oliver Czulo Loic De Langhe Mark Finlayson Antske Fokkens Fritz Günther Sanne Hoecken Eva Huber Allison Lahnala Lucy Li Gosse Minnema Roser Morante Seyed Mahed Mousavi Sebastian Padó Massimo Poesio Marco Rovera Thomas Schmidt Sara Tonelli Tiago Torrent Leonie Weissweiler Philipp Wicke Alexander Willich Alexander Ziem


Mohammad Ali and Naeemul Hassan. 2022. A survey of computational framing analysis approaches. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, pages 9335–9348, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.

Sihao Chen, Daniel Khashabi, Wenpeng Yin, Chris Callison-Burch, and Dan Roth. 2019. Seeing things from a different angle: discovering diverse perspectives about claims. In Proceedings of the 2019 Con- ference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Pa- pers), pages 542–557, Minneapolis, Minnesota. As- sociation for Computational Linguistics.

Gosse Minnema, Sara Gemelli, Chiara Zanchi, Tom- maso Caselli, and Malvina Nissim. 2022. SocioFillmore: A tool for discovering perspectives. In Proceedings of the 60th Annual Meeting of the Associa- tion for Computational Linguistics: System Demon- strations, pages 240–250, Dublin, Ireland. Associa- tion for Computational Linguistics.

Charles J. Fillmore. 1968. The case for case. In E. Bach and R. T. Harms, editors, Universals in linguistic theory, pages 1–88. Holt, Rhinehart, and Winston, New York.

Charles J. Fillmore. 1985. Frames and the semantics of understanding. Quaderni di semantica, 6(2):222– 254.

Charles J. Fillmore. 2006. Frame semantics. In D. Geeraerts, editor, Cognitive Linguistics: Basic Readings, pages 373–400. De Gruyter Mouton, Berlin, Boston. Originally published in 1982.

Piek Vossen, Filip Ilievski, Marten Postma, and Roxane Segers. 2018. Don’t annotate, but validate: a data-to-text method for capturing event data. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. European Language Resources Association (ELRA).