The Multilingual FrameNet Corpus

Beatrice Fiumanò; Nicolas Lazzari; Simone Paolo Ponzetto; Valentina Presutti

The Multilingual FrameNet Corpus

Beatrice Fiumanò, Nicolas Lazzari, Simone Paolo Ponzetto, Valentina Presutti

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Abstract

This paper introduces the Multilingual FrameNet Corpus (mFNC), a novel resource that extends the English Berkley FrameNet corpus by collecting and harmonizing existing language-specific corpora across nine additional languages: Brazilian Portuguese, Chinese, Dutch, French, German, Italian, Korean, Latvian and Swedish. By training models that rely on different architectures on the mFNC, we consistently outperform existing state-of-the-art Frame Semantic Parsers in both multilingual and cross-lingual settings, underscoring the importance of multilingual training data. The mFNC and our trained FSP models are openly available at https://github.com/beatrice-f/mFNC.

Anthology ID:: 2026.emnlp-main.493
Volume:: Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
Month:: October
Year:: 2026
Address:: Budapest, Hungary
Editors:: Hung-Yi Lee, Sunipa Dev, Jessy Li, Desmond Elliott
Venue:: EMNLP
SIG:: SIGDAT
Publisher:: Association for Computational Linguistics
Note:
Pages:: 11332–11347
Language:
URL:: https://aclanthology.org/2026.emnlp-main.493/
DOI:
Bibkey:
Cite (ACL):: Beatrice Fiumanò, Nicolas Lazzari, Simone Paolo Ponzetto, and Valentina Presutti. 2026. The Multilingual FrameNet Corpus. In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, pages 11332–11347, Budapest, Hungary. Association for Computational Linguistics.
Cite (Informal):: The Multilingual FrameNet Corpus (Fiumanò et al., EMNLP 2026)
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PDF:: https://aclanthology.org/2026.emnlp-main.493.pdf

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@inproceedings{fiumano-etal-2026-multilingual,
    title = "The Multilingual {F}rame{N}et Corpus",
    author = "Fiuman{\`o}, Beatrice  and
      Lazzari, Nicolas  and
      Ponzetto, Simone Paolo  and
      Presutti, Valentina",
    editor = "Lee, Hung-Yi  and
      Dev, Sunipa  and
      Li, Jessy  and
      Elliott, Desmond",
    booktitle = "Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing",
    month = oct,
    year = "2026",
    address = "Budapest, Hungary",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2026.emnlp-main.493/",
    pages = "11332--11347",
    ISBN = "979-8-89176-459-0",
    abstract = "This paper introduces the Multilingual FrameNet Corpus (mFNC), a novel resource that extends the English Berkley FrameNet corpus by collecting and harmonizing existing language-specific corpora across nine additional languages: Brazilian Portuguese, Chinese, Dutch, French, German, Italian, Korean, Latvian and Swedish. By training models that rely on different architectures on the mFNC, we consistently outperform existing state-of-the-art Frame Semantic Parsers in both multilingual and cross-lingual settings, underscoring the importance of multilingual training data. The mFNC and our trained FSP models are openly available at https://github.com/beatrice-f/mFNC."
}

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%0 Conference Proceedings
%T The Multilingual FrameNet Corpus
%A Fiumanò, Beatrice
%A Lazzari, Nicolas
%A Ponzetto, Simone Paolo
%A Presutti, Valentina
%Y Lee, Hung-Yi
%Y Dev, Sunipa
%Y Li, Jessy
%Y Elliott, Desmond
%S Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing
%D 2026
%8 October
%I Association for Computational Linguistics
%C Budapest, Hungary
%@ 979-8-89176-459-0
%F fiumano-etal-2026-multilingual
%X This paper introduces the Multilingual FrameNet Corpus (mFNC), a novel resource that extends the English Berkley FrameNet corpus by collecting and harmonizing existing language-specific corpora across nine additional languages: Brazilian Portuguese, Chinese, Dutch, French, German, Italian, Korean, Latvian and Swedish. By training models that rely on different architectures on the mFNC, we consistently outperform existing state-of-the-art Frame Semantic Parsers in both multilingual and cross-lingual settings, underscoring the importance of multilingual training data. The mFNC and our trained FSP models are openly available at https://github.com/beatrice-f/mFNC.
%U https://aclanthology.org/2026.emnlp-main.493/
%P 11332-11347

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Markdown (Informal)

[The Multilingual FrameNet Corpus](https://aclanthology.org/2026.emnlp-main.493/) (Fiumanò et al., EMNLP 2026)

The Multilingual FrameNet Corpus (Fiumanò et al., EMNLP 2026)

ACL

Beatrice Fiumanò, Nicolas Lazzari, Simone Paolo Ponzetto, and Valentina Presutti. 2026. The Multilingual FrameNet Corpus. In Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing, pages 11332–11347, Budapest, Hungary. Association for Computational Linguistics.