Search Results for author: Haritz Puerto San Roman

Found 2 papers, 1 papers with code

Regularization of Distinct Strategies for Unsupervised Question Generation

1 code implementation • Findings of the Association for Computational Linguistics 2020 • Junmo Kang, Giwon Hong, Haritz Puerto San Roman, Sung-Hyon Myaeng

Unsupervised question answering (UQA) has been proposed to avoid the high cost of creating high-quality datasets for QA.

Few-Shot Learning Question Answering +2

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Let Me Know What to Ask: Interrogative-Word-Aware Question Generation

no code implementations • WS 2019 • Junmo Kang, Haritz Puerto San Roman, Sung-Hyon Myaeng

Owing to an increased recall of deciding the interrogative words to be used for the generated questions, the proposed model achieves new state-of-the-art results on the task of QG in SQuAD, improving from 46. 58 to 47. 69 in BLEU-1, 17. 55 to 18. 53 in BLEU-4, 21. 24 to 22. 33 in METEOR, and from 44. 53 to 46. 94 in ROUGE-L.

Question Answering Question Generation +1

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