From Particular to General: A Preliminary Case Study of Transfer Learning in Reading Comprehension
By Rudolf Kadlec, Ondrej Bajgar, Jan Kleindienst. 2016
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
- Jason Aaron Edward Weston
- Danqi Chen
- Mohit Bansal
- Antoine Bordes
- Hannaneh Hajishirzi
- Christopher D. Manning
- Luke S. Zettlemoyer
- Jianfeng Gao
Citations in the corpus
- Reading Wikipedia to Answer Open-Domain Questions (2017, methodology): “…supervision with Freebase as the KB to give slight improvements on both datasets, although poor performance was reported when training on only one dataset and testing on the other, showing that task transfer is indeed a challenging subject; see also (Kadlec et al., 2016) for a similar conclusion.”
- Cross-Lingual Transfer Learning for Question Answering (2019, background): “In probably the first work to apply transfer learning on QA, the authors show that the transferred system is significantly better than a random base-line (Kadlec et al., 2016).”