Pouya Yanki — accepted AI-conference papers

2023

RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the Question

Alireza Mohammadshahi, Thomas Scialom, Majid Yazdani, Pouya Yanki, Angela Fan, James Henderson +1

ACL 2023findings

Existing metrics for evaluating the quality of automatically generated questions such as BLEU, ROUGE, BERTScore, and BLEURT compare the reference and predicted questions, providing a high score when there is a considerable lexical overlap or semantic similarity between the candidate and the referenc…

Cited by 25 Source ↗PDF ↗code ↗Scholar ↗

2022

Open Vocabulary Extreme Classification Using Generative Models

Daniel Simig, Fabio Petroni, Pouya Yanki, Kashyap Popat, Christina Du, Sebastian Riedel +1

ACL 2022findings

The extreme multi-label classification (XMC) task aims at tagging content with a subset of labels from an extremely large label set. The label vocabulary is typically defined in advance by domain experts and assumed to capture all necessary tags. However in real world scenarios this label set, altho…

Cited by 21 Source ↗PDF ↗Scholar ↗