Papers with IDRC

2 papers
Implicit Discourse Relation Classification For Nigerian Pidgin (2025.coling-main)

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Challenge: Existing discourse parsing tools are not available for Nigerian Pidgin (NP) this task requires supervised training and requires prompting.
Approach: They propose to use implicit discourse relation classification (IDRC) for Nigerian Pidgin, which requires supervised training.
Outcome: The proposed framework outperforms baseline and NP IDR classifiers in f1 scores.
Linguistic Cues for LLM-based Implicit Discourse Relation Classification (2026.findings-eacl)

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Challenge: Large language models (LLMs) have been successful in many NLP tasks, but they struggle to capture subtle lexical relations between arguments.
Approach: They propose a strategy that enriches arguments with explicit lexical-level semantic cues before fine-tuning.
Outcome: The proposed approach improves F1 scores in cross-domain scenarios by more than 10 points compared to baselines.

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