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Kicktionary-LOME: A Domain-Specific Multilingual Frame Semantic Parsing Model for Football Language

arXiv 2108.05575 ↗First posted 12 Aug 2021cs.CLcited by 0

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Abstract (arXiv)

This technical report introduces an adapted version of the LOME frame semantic parsing model (Xia et al., EACL 2021) which is capable of automatically annotating texts according to the "Kicktionary" domain-specific framenet resource. Several methods for training a model even with limited available training data are proposed. While there are some challenges for evaluation related to the nature of the available annotations, preliminary results are very promising, with the best model reaching F1-scores of 0.83 (frame prediction) and 0.81 (semantic role prediction).

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 16 references that are in the map. First posted on arXiv 12 Aug 2021.

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References · 4

  1. 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
  2. 2020Unmasking Contextual Stereotypes: Measuring and Mitigating BERT's Gender Biascited by 82
  3. 2017Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffoldcited by 33
  4. 2021LOME: Large Ontology Multilingual Extractioncited by 23

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