2017 LearningtoGenerateOneSentenceBi
- (Chisholm et al., 2017) ⇒ Andrew Chisholm, Will Radford, and Ben Hachey. (2017). “Learning to Generate One-sentence Biographies from Wikidata.” In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers.
Subject Headings: Sequence-To-Sequence Model
Notes
- Article versions and URLs:
Cited By
- Google Scholar: ~ 47 Citations
- (Melli et al., 2020) ⇒ Gabor Melli, Abdelrhman Eldallal, Bassim Lazem, and Olga Moreira. (2020). “GM-RKB WikiText Error Correction Task and Baselines.”. In: Proceedings of LREC 2020 (LREC-2020).
Quotes
Abstract
We investigate the generation of one-sentence Wikipedia biographies from facts derived from Wikidata slot-value pairs. We train a recurrent neural network sequence-to-sequence model with attention to select facts and generate textual summaries. Our model incorporates a novel secondary objective that helps ensure it generates sentences that contain the input facts. The model achieves a BLEU score of 41, improving significantly upon the vanilla sequence-to-sequence model and scoring roughly twice that of a simple template baseline. Human preference evaluation suggests the model is nearly as good as the Wikipedia reference. Manual analysis explores content selection, suggesting the model can trade the ability to infer knowledge against the risk of hallucinating incorrect information.
References
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Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
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2017 LearningtoGenerateOneSentenceBi | Andrew Chisholm Will Radford Ben Hachey | Learning to Generate One-sentence Biographies from Wikidata |