Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 3 (Industry Papers)
By Marilyn A. Walker, Heng Ji, Amanda Stent. 2018
75 citations recorded by the source corpus.
Subfields: Artificial Intelligence, 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 Artificial Intelligence
- Ondrej Dusek
- Verena Rieser
- Jekaterina Novikova
- M. V. Koroteev
- Yevgeniy Puzikov
- Elizabeth Clark
- Ehud Reiter
- Sebastian Gehrmann
In Natural Language Processing
- Ondrej Dusek
- Verena Rieser
- Jekaterina Novikova
- M. V. Koroteev
- Yevgeniy Puzikov
- Sebastian Gehrmann
- Zdeněk Kasner
- Elizabeth Clark
Citations in the corpus
- Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge (2019, methodology): “We also release a new dataset of 36k system outputs paired with user ratings, which will enable novel research on automatic quality estimation for NLG (Specia et al., 2010; Dušek et al., 2017; Ueffing et al., 2018; Kann et al., 2018; Tian et al., 2018).”
- BERT: A Review of Applications in Natural Language Processing and Understanding (2021, methodology): “This model was trained on a random sample of more than 1 million scientific articles from the SemanticScholar database [1].”