Decomp: A toolkit for decompositional semantics

Decomp is a toolkit for working with the Universal Decompositional Semantics (UDS) dataset, which is a collection of directed acyclic semantic graphs with real-valued node and edge attributes pointing into Universal Dependencies syntactic dependency trees.

The toolkit is built on top of NetworkX and RDFLib making it straightforward to:

  • read the UDS dataset from its native JSON format

  • query both the syntactic and semantic subgraphs of UDS (as well as pointers between them) using SPARQL 1.1 queries

  • serialize UDS graphs to many common formats, such as Notation3, N-Triples, turtle, and JSON-LD, as well as any other format supported by NetworkX

The toolkit was built by Aaron Steven White and is maintained by the Decompositional Semantics Initiative. The UDS dataset was constructed from annotations collected by the Decompositional Semantics Initiative.

If you use either UDS or Decomp in your research, we ask that you cite the following paper:

White, Aaron Steven, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, et al. 2020. The Universal Decompositional Semantics Dataset and Decomp Toolkit. Proceedings of The 12th Language Resources and Evaluation Conference, 5698–5707. Marseille, France: European Language Resources Association.

@inproceedings{white-etal-2020-universal,
    title = "The Universal Decompositional Semantics Dataset and Decomp Toolkit",
    author = "White, Aaron Steven  and
      Stengel-Eskin, Elias  and
      Vashishtha, Siddharth  and
      Govindarajan, Venkata Subrahmanyan  and
      Reisinger, Dee Ann  and
      Vieira, Tim  and
      Sakaguchi, Keisuke  and
      Zhang, Sheng  and
      Ferraro, Francis  and
      Rudinger, Rachel  and
      Rawlins, Kyle  and
      Van Durme, Benjamin",
    booktitle = "Proceedings of The 12th Language Resources and Evaluation Conference",
    month = may,
    year = "2020",
    address = "Marseille, France",
    publisher = "European Language Resources Association",
    url = "https://www.aclweb.org/anthology/2020.lrec-1.699",
    pages = "5698--5707",
    ISBN = "979-10-95546-34-4",
}

Contents:

Indices and tables