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» Comparing Automatic and Human Evaluation of NLG Systems
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CVPR
2006
IEEE
14 years 2 months ago
Tracking of Multiple, Partially Occluded Humans based on Static Body Part Detection
Tracking of humans in videos is important for many applications. A major source of difficulty in performing this task is due to inter-human or scene occlusion. We present an appr...
Bo Wu, Ram Nevatia
SIGIR
2010
ACM
13 years 12 months ago
Comparing click-through data to purchase decisions for retrieval evaluation
Traditional retrieval evaluation uses explicit relevance judgments which are expensive to collect. Relevance assessments inferred from implicit feedback such as click-through data...
Katja Hofmann, Bouke Huurnink, Marc Bron, Maarten ...
TASLP
2010
108views more  TASLP 2010»
13 years 6 months ago
Exploring Correlation Between ROUGE and Human Evaluation on Meeting Summaries
Abstract—Automatic summarization evaluation is very important to the development of summarization systems. In text summarization, ROUGE has been shown to correlate well with huma...
Feifan Liu, Yang Liu
BCSHCI
2008
13 years 9 months ago
Evaluating driver attention and driving behaviour: comparing controlled driving and simulated driving
Emerging in-vehicle systems have turned the contemporary car into a human-computer interaction context that has its own set of rules and challenges. Interacting with in-vehicle sy...
Kenneth Majlund Bach, Mads Gregers Jæger, Mi...
IPM
2007
99views more  IPM 2007»
13 years 8 months ago
Older versions of the ROUGEeval summarization evaluation system were easier to fool
We show some limitations of the ROUGE evaluation method for automatic summarization. We present a method for automatic summarization based on a Markov model of the source text. By...
Jonas Sjöbergh