Computational Linguistics: 16th International Conference of the Pacific Association for Computational Linguistics, PACLING 2019, Hanoi, Vietnam, October 11–13, 2019, Revised Selected Papers

By Frank Rudzicz, Graeme Hirst. 2019

614 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

1. Yinfei Yang
2. Daniel Matthew Cer
3. Gustavo Hernández Ábrego
4. Brian Strope
5. R. Kurzweil
6. Yun-Hsuan Sung
7. Holger Schwenk
8. Mandy Guo

In Natural Language Processing

1. Yinfei Yang
2. Daniel Matthew Cer
3. Gustavo Hernández Ábrego
4. Brian Strope
5. R. Kurzweil
6. Yun-Hsuan Sung
7. Holger Schwenk
8. Steve Yuan

Citations in the corpus

• Addressing Age-Related Bias in Sentiment Analysis (2018, methodology): “Some computational algorithms have been shown to exhibit social biases, however, and tools for measuring sentiment vary widely in their implementation, from computing values of component words and phrases within a document (lexicon-based models) to using labeled example text to train a machine learn”