Argument Linking: A Survey and Forecast
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Abstract (arXiv)
Semantic role labeling (SRL) -- identifying the semantic relationships between a predicate and other constituents in the same sentence -- is a well-studied task in natural language understanding (NLU). However, many of these relationships are evident only at the level of the document, as a role for a predicate in one sentence may often be filled by an argument in a different one. This more general task, known as implicit semantic role labeling or argument linking, has received increased attention in recent years, as researchers have recognized its centrality to information extraction and NLU. This paper surveys the literature on argument linking and identifies several notable shortcomings of existing approaches that indicate the paths along which future research effort could most profitably be spent.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 16 of its 79 references that are in the map. First posted on arXiv 18 Jul 2021.
Builds on
16 of 79 references.
References · 16
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4 more
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Citing papers per year: 2022: 1; 2023: 1.
2 papers.
- 2022On Event Individuation for Document-Level Information Extractioncited by 2
- 2023FAMuS: Frames Across Multiple Sourcescited by 2
- 2023FAMuS: Frames Across Multiple Sources9 Nov 2023
- 2022On Event Individuation for Document-Level Information Extraction19 Dec 2022