Cross-language document summarization via extraction and ranking of multiple summaries

By Xiaojun Wan, Fuli Luo, Xue Sun, Songfang Huang, Jin-ge Yao. 2019

32 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Natural Language Processing

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Claire Cardie
2. Faisal Ladhak
3. Esin Durmus
4. K. McKeown
5. Mohit Bansal
6. Mirella Lapata
7. Yoav Goldberg
8. Yejin Choi

In Natural Language Processing

1. Faisal Ladhak
2. K. McKeown
3. Esin Durmus
4. Claire Cardie
5. Mohit Bansal
6. Elizabeth Clark
7. Sebastian Gehrmann
8. Mirella Lapata

Citations in the corpus

• WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization (2020, background): “Scarcity of cross-lingual summarization data has limited prior work to a few languages, and mostly in the news domain (Wan et al., 2010; Wan, 2011; Yao et al., 2015; Zhang et al., 2016; Wan et al., 2019).”