Evaluation of Text Summarization in a Cross-lingual Information Retrieval Framework
By Dragomir R. Radev, Simone Teufel, Horacio Saggion, Wai Lam, John Blitzer, Arda Çelebi, Hong Qi, Elliott Franco Drábek, Danyu Liu. 2011
17 citations recorded by the source corpus.
Subfields: Natural Language Processing, Evaluation & Benchmarks
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
- Thomas Scialom
- Jacopo Staiano
- Sylvain Lamprier
- Benjamin Piwowarski
- Paul-Alexis Dray
- Ping Chen
- Fei Wu
- Tong Wang
In Evaluation & Benchmarks
- Thomas Scialom
- Jacopo Staiano
- Benjamin Piwowarski
- Sylvain Lamprier
- Ping Chen
- Paul-Alexis Dray
- Fei Wu
- Tong Wang
Citations in the corpus
- MLSUM: The Multilingual Summarization Corpus (2020, background): “Radev et al. (2002) developed MEAD, a multi-document summarizer that works for both English and Chinese.”
- A Semantic QA-Based Approach for Text Summarization Evaluation (2017, background): “Unfortunately, LSI is expensive to compute, and suffers from the polysemy problem.”