Multi-lingualWikipedia Summarization and Title Generation On Low Resource Corpus
Wei Liu, Lei Li, Zuying Huang, Yinan Liu · 2019
MultiLing 2019 Headline Generation Task on Wikipedia Corpus raised a critical and practical problem: multilingual task on low resource corpus.In this paper we proposed Quality-Diversity Automatic Summarization(QDAS) model enhanced by sentence2vec and try to apply transfer learning based on large multilingual pre-trained language model for Wikipedia Headline Generation task.We treat it as sequence labeling task and develop two schemes to handle with it.Experimental results have shown that large pre-trained model can effectively utilize learned knowledge to extract certain phrase using low resource supervised data.