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- W4229062646 abstract "Context is crucial for identifying semantic relations between input sequences embedded in a document. This paper studies how different levels of context, coming from discourse markers or from a paragraph-wide context window, impact the capability of language models to identify inference relations. Empirical results for the task of argumentative relation identification show that the proposed paragraph-aware model provides considerable improvements over a context-agnostic baseline, surpassing the usage of discourse markers alone." @default.
- W4229062646 created "2022-05-08" @default.
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- W4229062646 date "2022-04-25" @default.
- W4229062646 modified "2023-09-26" @default.
- W4229062646 title "Context matters!" @default.
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- W4229062646 doi "https://doi.org/10.1145/3477314.3507246" @default.
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