The Multilingual FrameNet Corpus
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Abstract (arXiv)
This paper introduces the Multilingual FrameNet Corpus (mFNC), a novel resource that extends the English Berkeley 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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References · 20
- 2020mT5: A massively multilingual pre-trained text-to-text transformercited by 1,818
- 2021ByT5: Towards a token-free future with pre-trained byte-to-byte modelscited by 509
- 2023Language Model Tokenizers Introduce Unfairness Between Languagescited by 214
- 2021Toward a Perspectivist Turn in Ground Truthing for Predictive Computingcited by 130
- 2017Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffoldcited by 33
- 2021Metaphor Generation with Conceptual Mappingscited by 32
- 2022Beyond Counting Datasets: A Survey of Multilingual Dataset Construction and Necessary Resourcescited by 25
- 2021LOME: Large Ontology Multilingual Extractioncited by 23
- 2023FrameBERT: Conceptual Metaphor Detection with Frame Embedding Learningcited by 18
- 2022Transforming Sequence Tagging Into A Seq2Seq Taskcited by 15
- 2020Open-Domain Frame Semantic Parsing Using Transformerscited by 12
- 2018Capturing Ambiguity in Crowdsourcing Frame Disambiguationcited by 8
8 more
- 2021A Graph-Based Neural Model for End-to-End Frame Semantic Parsingcited by 7
- 2022SOCIOFILLMORE: A Tool for Discovering Perspectivescited by 5
- 2024How ChatGPT Changed the Media's Narratives on AI: A Semi-Automated Narrative Analysis Through Frame Semanticscited by 5
- 2022Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate-Argument Structurescited by 4
- 2025Can LLMs Extract Frame-Semantic Arguments?cited by 3
- 2025Do LLMs Encode Frame Semantics? Evidence from Frame Identificationcited by 3
- 2026Not all ANIMALs are equal: metaphorical framing through source domains and semantic framescited by 2
- 2018Semantic Role Labeling for Knowledge Graph Extraction from Textcited by 1
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