Implicit Discourse Relation Classification For Nigerian Pidgin
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Abstract (arXiv)
Despite attempts to make Large Language Models multi-lingual, many of the world's languages are still severely under-resourced. This widens the performance gap between NLP and AI applications aimed at well-financed, and those aimed at less-resourced languages. In this paper, we focus on Nigerian Pidgin (NP), which is spoken by nearly 100 million people, but has comparatively very few NLP resources and corpora. We address the task of Implicit Discourse Relation Classification (IDRC) and systematically compare an approach translating NP data to English and then using a well-resourced IDRC tool and back-projecting the labels versus creating a synthetic discourse corpus for NP, in which we translate PDTB and project PDTB labels, and then train an NP IDR classifier. The latter approach of learning a "native" NP classifier outperforms our baseline by 13.27% and 33.98% in f1 score for 4-way and 11-way classification, respectively.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). Builds on 18 of its 59 references that are in the map. First posted on arXiv 26 Jun 2024.
Builds on
18 of 59 references.
References · 18
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6 more
- 2021DisCoDisCo at the DISRPT2021 Shared Task: A System for Discourse Segmentation, Classification, and Connective Detectioncited by 15
- 2021From Discourse to Narrative: Knowledge Projection for Event Relation Extractioncited by 14
- 2020Towards Supervised and Unsupervised Neural Machine Translation Baselines for Nigerian Pidgincited by 8
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Built on by
Citing papers per year: 2024: 1; 2025: 5.
6 papers.
- 2025Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Aheadcited by 15
- 2024GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domainscited by 5
- 2025Discursive Circuits: How Do Language Models Understand Discourse Relations?cited by 3
- 2025DiscoTrack: A Multilingual LLM Benchmark for Discourse Trackingcited by 2
- 2025Surfacing Subtle Stereotypes: A Multilingual, Debate-Oriented Evaluation of Modern LLMscited by 2
- 2025Multi-Lingual Implicit Discourse Relation Recognition with Multi-Label Hierarchical Learningcited by 1
- 2025Surfacing Subtle Stereotypes: A Multilingual, Debate-Oriented Evaluation of Modern LLMs3 Nov 2025
- 2025DiscoTrack: A Multilingual LLM Benchmark for Discourse Tracking19 Oct 2025
- 2025Discursive Circuits: How Do Language Models Understand Discourse Relations?13 Oct 2025
- 2025Multi-Lingual Implicit Discourse Relation Recognition with Multi-Label Hierarchical Learning28 Aug 2025
- 2025Charting the Landscape of African NLP: Mapping Progress and Shaping the Road Ahead27 May 2025
- 2024GDTB: Genre Diverse Data for English Shallow Discourse Parsing across Modalities, Text Types, and Domains1 Nov 2024