@inproceedings{hasanaliyev-etal-2023-francis,
title = "{F}rancis Bacon at {S}em{E}val-2023 Task 4: Ensembling {BERT} and {G}lo{V}e for Value Identification in Arguments",
author = "Hasanaliyev, Kenan and
Li, Kevin and
Chawla, Saanvi and
Nath, Michael and
Sanda, Rohan and
Wu, Justin and
Huang, William and
Yang, Daniel and
Mion, Shane and
Bhat, Kiran",
editor = {Ojha, Atul Kr. and
Do{\u{g}}ru{\"o}z, A. Seza and
Da San Martino, Giovanni and
Tayyar Madabushi, Harish and
Kumar, Ritesh and
Sartori, Elisa},
booktitle = "Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)",
month = jul,
year = "2023",
address = "Toronto, Canada",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2023.semeval-1.280",
doi = "10.18653/v1/2023.semeval-1.280",
pages = "2039--2042",
abstract = "In this paper, we discuss our efforts on SemEval-2023 Task4, a task to classify the human value categoriesthat an argument draws on. Arguments consist of a premise, conclusion,and the premise{'}s stance on the conclusion. Our team experimented with GloVe embeddings and fine-tuning BERT. We found that an ensembling of BERT and GloVe with RidgeRegression worked the best.",
}
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<abstract>In this paper, we discuss our efforts on SemEval-2023 Task4, a task to classify the human value categoriesthat an argument draws on. Arguments consist of a premise, conclusion,and the premise’s stance on the conclusion. Our team experimented with GloVe embeddings and fine-tuning BERT. We found that an ensembling of BERT and GloVe with RidgeRegression worked the best.</abstract>
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%0 Conference Proceedings
%T Francis Bacon at SemEval-2023 Task 4: Ensembling BERT and GloVe for Value Identification in Arguments
%A Hasanaliyev, Kenan
%A Li, Kevin
%A Chawla, Saanvi
%A Nath, Michael
%A Sanda, Rohan
%A Wu, Justin
%A Huang, William
%A Yang, Daniel
%A Mion, Shane
%A Bhat, Kiran
%Y Ojha, Atul Kr.
%Y Doğruöz, A. Seza
%Y Da San Martino, Giovanni
%Y Tayyar Madabushi, Harish
%Y Kumar, Ritesh
%Y Sartori, Elisa
%S Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023)
%D 2023
%8 July
%I Association for Computational Linguistics
%C Toronto, Canada
%F hasanaliyev-etal-2023-francis
%X In this paper, we discuss our efforts on SemEval-2023 Task4, a task to classify the human value categoriesthat an argument draws on. Arguments consist of a premise, conclusion,and the premise’s stance on the conclusion. Our team experimented with GloVe embeddings and fine-tuning BERT. We found that an ensembling of BERT and GloVe with RidgeRegression worked the best.
%R 10.18653/v1/2023.semeval-1.280
%U https://aclanthology.org/2023.semeval-1.280
%U https://doi.org/10.18653/v1/2023.semeval-1.280
%P 2039-2042
Markdown (Informal)
[Francis Bacon at SemEval-2023 Task 4: Ensembling BERT and GloVe for Value Identification in Arguments](https://aclanthology.org/2023.semeval-1.280) (Hasanaliyev et al., SemEval 2023)
ACL
- Kenan Hasanaliyev, Kevin Li, Saanvi Chawla, Michael Nath, Rohan Sanda, Justin Wu, William Huang, Daniel Yang, Shane Mion, and Kiran Bhat. 2023. Francis Bacon at SemEval-2023 Task 4: Ensembling BERT and GloVe for Value Identification in Arguments. In Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023), pages 2039–2042, Toronto, Canada. Association for Computational Linguistics.