@inproceedings{mopidevi-chenna-2023-quintilian,
    title = "Quintilian at {S}em{E}val-2023 Task 4: Grouped {BERT} for Multi-Label Classification",
    author = "Mopidevi, Ajay Narasimha  and
      Chenna, Hemanth",
    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-1.222",
    doi = "10.18653/v1/2023.semeval-1.222",
    pages = "1609--1612",
    abstract = "In this paper, we initially discuss about the ValueEval task and the challenges involved in multi-label classification tasks. We tried to approach this task using Natural Language Inference and proposed a Grouped-BERT architecture which leverages commonality between the classes for a multi-label classification tasks.",
}

In this paper, we initially discuss about the ValueEval task and the challenges involved in multi-label classification tasks. We tried to approach this task using Natural Language Inference and proposed a Grouped-BERT architecture which leverages commonality between the classes for a multi-label classification tasks.
Mopidevi, Ajay Narasimha Chenna, Hemanth
Quintilian at SemEval-2023 Task 4: Grouped BERT for Multi-Label Classification