Jamell Dacon
Jamell Dacon has 3 papers in our library, in 2020–2022, most of them on English, Dialogue systems, Evaluation & benchmarks; often with Haochen Liu, Jiliang Tang, Hui Liu.
OpenAlex · ORCID · h-index 5 · 15 works · 137 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 69 times in our library · ⭐ Paper Stars ranking: #6165
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksSafety Research · 3 worksSocial Sciences · 3 works
🧭 Topics 4Research subjects and languages the work is about.Bias, fairness & safety · 1 workDialogue systems · 1 workEnglish · 2 worksEvaluation & benchmarks · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Chatbots · 1 work
Works by year
2020s
Papers
- Does Gender Matter? Towards Fairness in Dialogue Systems (2020 · 133 citations)
Dialogue systems learn from real human conversations, so they can pick up social prejudices. Their fairness had received little systematic study. The authors examine whether popular dialogue models treat genders (male vs. female) and races differently, with race represented as standard English vs. African American… - Towards a Deep Multi-layered Dialectal Language Analysis: A Case Study of African-American English (2022 · 13 citations)
The paper tackles a fairness problem: part-of-speech taggers built on Mainstream American English (MAE) mislabel African-American English (AAE) tokens, such as "neva", "dat" and "finna", because they never saw them in training. - Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference (2022 · 6 citations)
NLP models trained mostly on Standard American English (SAE) often misjudge text in African American English (AAE).
Co-authors here
Venues
- International Conference on Computational Linguistics (COLING) ×2: COLING 2022, COLING 2020
- Workshop on Bridging Human–Computer Interaction and Natural Language Processing: Workshop on Bridging Human–Computer Interaction and Natural Language Processing 2022
Cited by
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