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Unsupervised Ensemble of Ranking Models for News Comments Using Pseudo Answers
Ranking comments on an online news service is a practically important task, and thus there have been many studies on this task. Although ensemble techniques are widely known to improve the performance of models, there is little types of research on ensemble neural-ranking models. In this paper, we i...
Autores principales: | Fujita, Soichiro, Kobayashi, Hayato, Okumura, Manabu |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148027/ http://dx.doi.org/10.1007/978-3-030-45442-5_17 |
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