Michael Chavinda

Artificial Intelligence · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Natural Language Processing — 30 citations into it
• Evaluation & Benchmarks — 12 citations into it
• Computer Vision and Pattern Recognition — 10 citations into it

Whom Michael Chavinda trusts

Their strongest outbound trust, strongest first, inferred from their citations.

1. Chin-Yew Lin (in Natural Language Processing)
2. Maja Popovic (in Artificial Intelligence)
3. Katja Filippova (in Artificial Intelligence)

Papers from Michael Chavinda's perspective

Ordered by how strongly the researchers Michael Chavinda trusts endorse each paper. Same corpus, a different order for every researcher.

1. ROUGE: A Package for Automatic Evaluation of Summaries
2. BLEURT: Learning Robust Metrics for Text Generation
3. Neural Text Generation from Structured Data with Application to the Biography Domain
4. Creating Training Corpora for NLG Micro-Planners
5. mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer
6. Challenges in Data-to-Document Generation
7. Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text
8. Deep Reinforcement Learning from Human Preferences (Neural Information Processing Systems)
9. chrF: character n-gram F-score for automatic MT evaluation
10. The WebNLG Challenge: Generating Text from RDF Data

Their papers

• TaTa: A Multilingual Table-to-Text Dataset for African Languages (2022) — 14 citations