Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Mohaddeseh Bastan"'
Autor:
Niranjan Balasubramanian, Nathanael Chambers, Mohaddeseh Bastan, Radhika Gaonkar, Heeyoung Kwon
Publikováno v:
ACL
Predicting how events induce emotions in the characters of a story is typically seen as a standard multi-label classification task, which usually treats labels as anonymous classes to predict. They ignore information that may be conveyed by the emoti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be6ae23d4564263cd9c7304dbc582537
http://arxiv.org/abs/2006.05489
http://arxiv.org/abs/2006.05489
Publikováno v:
COLING
Even though sentiment analysis has been well-studied on a wide range of domains, there hasn’tbeen much work on inferring author sentiment in news articles. To address this gap, we introducePerSenT, a crowd-sourced dataset that captures the sentimen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::67a9d7ae1109a609fab17b1fb57b00a5
https://doi.org/10.18653/v1/2020.coling-main.52
https://doi.org/10.18653/v1/2020.coling-main.52
Publikováno v:
2017 Iranian Conference on Electrical Engineering (ICEE).
Neural Machine Translation (NMT) is a new approach for Machine Translation (MT), and due to its success, it has absorbed the attention of many researchers in the field. In this paper, we study NMT model on Persian-English language pairs, to analyze t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7987b829b7a56ab4fa7027726578d888
https://doi.org/10.1109/iraniancee.2017.7985278
https://doi.org/10.1109/iraniancee.2017.7985278