Direct parsing to sentiment graphs

David Samuel; Jeremy Barnes; Robin Kurtz; Stephan Oepen; Lilja Øvrelid; Erik Velldal

ACL 2022short10 citations

Direct parsing to sentiment graphs

David Samuel, Jeremy Barnes, Robin Kurtz, Stephan Oepen, Lilja Øvrelid, Erik Velldal

Abstract

This paper demonstrates how a graph-based semantic parser can be applied to the task of structured sentiment analysis, directly predicting sentiment graphs from text. We advance the state of the art on 4 out of 5 standard benchmark sets. We release the source code, models and predictions.

BibTeX

@inproceedings{samuel-etal-2022-direct,
    title = "Direct parsing to sentiment graphs",
    author = "Samuel, David  and
      Barnes, Jeremy  and
      Kurtz, Robin  and
      Oepen, Stephan  and
      {\O}vrelid, Lilja  and
      Velldal, Erik",
    editor = "Muresan, Smaranda  and
      Nakov, Preslav  and
      Villavicencio, Aline",
    booktitle = "Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)",
    month = may,
    year = "2022",
    address = "Dublin, Ireland",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.acl-short.51/",
    doi = "10.18653/v1/2022.acl-short.51",
    pages = "470--478"
}