Overview of the TREC 2016 Real-Time Summarization Track
By Jimmy J. Lin, Adam Roegiest, Luchen Tan, Richard McCreadie, Ellen M. Voorhees, Fernando Diaz. 2016
79 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
- Yejin Choi
- Jimmy J. Lin
- Ronan Le Bras
- Noah A. Smith
- Hannaneh Hajishirzi
- Mohit Bansal
- Jungo Kasai
- Luke S. Zettlemoyer
In Evaluation & Benchmarks
- Yejin Choi
- Ronan Le Bras
- Jungo Kasai
- Noah A. Smith
- Jimmy J. Lin
- Keisuke Sakaguchi
- Rodrigo Nogueira
- Andrew Yates
Citations in the corpus
- Pretrained Transformers for Text Ranking: BERT and Beyond (2020, background): “be an inferior system ill-suited for cuttingedge research. This perception, however, begun to change a few years ago, in part because Lucene had “caught up”. An evaluation exercise conducted in 2015 [Lin et al., 2016a] benchmarked several opensource search engines and demonstrated Lucene to be quite”
- RealTime QA: What's the Answer Right Now? (2022, background): “In contrast, the TREC real-time summarization track evaluates systems in real time during a 1– 2 week evaluation period (Lin et al., 2016, 2017; Sequiera et al., 2018).”
- A System for Efficient High-Recall Retrieval (2018, methodology): “For instance, the platform server was also used in the TREC 2017 RTS track evaluation for collecting judgments of tweets from the assessors [6].”