Multi-document multilingual summarization and evaluation tracks in ACL 2013 MultiLing Workshop

By George Giannakopoulos. 2013

50 citations recorded by the source corpus.

Subfields: Natural Language Processing, Summarization

How researchers see this paper

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

In Natural Language Processing

1. Faisal Ladhak
2. K. McKeown
3. Esin Durmus
4. Claire Cardie
5. Margot Mieskes
6. Christopher Tauchmann
7. Mohit Bansal
8. Mirella Lapata

In Summarization

1. K. McKeown
2. Claire Cardie
3. Margot Mieskes
4. Christopher Tauchmann
5. Esin Durmus
6. Faisal Ladhak

Citations in the corpus

• WikiLingua: A New Benchmark Dataset for Multilingual Abstractive Summarization (2020, methodology): “Multiple versions of the MultiLing dataset have been collected by the orga-nizers of MultiLing Workshops (Giannakopoulos, 2013; Elhadad et al., 2013; Kubina et al., 2013).”
• Language Agnostic Automatic Summarization Evaluation (2020, methodology): “We aim at answering various research questions 1 https://duc.nist.gov/ , https://tac.nist. gov 2 http://multiling.iit.demokritos.gr (Giannakopoulos, 2013) with regards to using existing evaluation metrics such as ROUGE and PYRAMID on this data.”