244 citations
- CentraleSupélecFR19 papers
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cs.CL2023
Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models
Pierre Colombo, Victor Pellegrain, Malik Boudiaf +5
Proprietary and closed APIs are becoming increasingly common to process natural language, and are impacting the practical applications of natural language processing, including few…
cs.CL2023★ 2 cited
Towards More Robust NLP System Evaluation: Handling Missing Scores in Benchmarks
Anas Himmi, Ekhine Irurozki, Nathan Noiry +2
The evaluation of natural language processing (NLP) systems is crucial for advancing the field, but current benchmarking approaches often assume that all systems have scores availa…
cs.CL2022★ 3 cited
Of Human Criteria and Automatic Metrics: A Benchmark of the Evaluation of Story Generation
Cyril Chhun, Pierre Colombo, Chloé Clavel +1
Research on Automatic Story Generation (ASG) relies heavily on human and automatic evaluation. However, there is no consensus on which human evaluation criteria to use, and no anal…