Generalized Minimum Bayes Risk System Combination

By Kevin Duh, Katsuhito Sudoh, Xianchao Wu, Hajime Tsukada, Masaaki Nagata. 2011

20 citations recorded by the source corpus.

Subfields: 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 Natural Language Processing

1. Pengfei Liu
2. Graham Neubig
3. Jinlan Fu
4. Yixin Liu
5. Weizhe Yuan
6. Xuanjing Huang
7. Zi-Yi Dou
8. Zhengbao Jiang

Citations in the corpus

• Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing (2021, methodology): “Prompt ensembling is connected to ensembling methods that are used to combine together multiple systems, which have a long history in machine learning [24, 133, 153].”
• ExplainaBoard: An Explainable Leaderboard for NLP (2021, background): “System combination (Ting and Witten, 1997; González-Rubio et al., 2011; Duh et al., 2011) is a technique to improve performance by combining the output from multiple existing systems.”
• RefSum: Refactoring Neural Summarization (2021, methodology): “Traditionally, it is used to improve the performance of statistical MT systems (González-Rubio et al., 2011; Watanabe and Sumita, 2011; Duh et al., 2011; Mizumoto and Matsumoto, 2016).”
• SpanNER: Named Entity Re-/Recognition as Span Prediction (2021, methodology): “System Combination Traditionally, system combination was used to improve the performance of statistical MT systems (González-Rubio et al., 2011; Watanabe and Sumita, 2011; Duh et al., 2011; Mizumoto and Matsumoto, 2016).”