Best Papers vs. Top Cited Papers in Computer Science (since 1996)
The score in the bracket after each conference represents its average MAP score. MAP (Mean Average Precision) is a measure to evaluate the ranking performance. The MAP score of a conference in a year is calculated by viewing best papers of the conference in the corresponding year as the ground truth and the top cited papers as the ranking results.
We acknowledge Jeff Huang for providing the list of best paper awards.
EMNLP ( Average MAP: 0.047)
EMNLP 2019「 MAP: 0.0 」Rank&Cited
- 1115
- 281
- 376
- BESTPAPER!1926
- BESTPAPER!898
- BESTPAPER!2343
- BESTPAPER!
Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala English
5160
EMNLP 2015「 MAP: 0.0 」Rank&Cited
EMNLP 2014「 MAP: 0.0 」Rank&Cited
EMNLP 2013「 MAP: 0.0 」Rank&Cited
EMNLP 2012「 MAP: 0.0 」Rank&Cited
EMNLP 2011「 MAP: 0.0 」Rank&Cited
EMNLP 2010「 MAP: 0.0 」Rank&Cited
- 1689
- 2469
- 3429
- BESTPAPER!10206