@inproceedings{talavera-cepeda-etal-2023-sren,
    title = "Sren Kierkegaard at {S}em{E}val-2023 Task 4: Label-aware text classification using Natural Language Inference",
    author = "Talavera Cepeda, Ignacio  and
      Pauli, Amalie  and
      Assent, Ira",
    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-1.258",
    doi = "10.18653/v1/2023.semeval-1.258",
    pages = "1871--1877",
    abstract = "In this paper, we describe our approach to Task 4 in SemEval 2023. Our pipeline tries to solve the problem of multi-label text classification of human values in English-written arguments. We propose a label-aware system where we reframe the multi-label task into a binary task resembling an NLI task. We propose to include the semantic description of the human values by comparing each description to each argument and ask whether there is entailment or not.",
}

In this paper, we describe our approach to Task 4 in SemEval 2023. Our pipeline tries to solve the problem of multi-label text classification of human values in English-written arguments. We propose a label-aware system where we reframe the multi-label task into a binary task resembling an NLI task. We propose to include the semantic description of the human values by comparing each description to each argument and ask whether there is entailment or not.
Talavera Cepeda, Ignacio Pauli, Amalie Assent, Ira
Sren Kierkegaard at SemEval-2023 Task 4: Label-aware text classification using Natural Language Inference