Emergent Mind

A multi-task semi-supervised framework for Text2Graph & Graph2Text

(2202.06041)

Published Feb 12, 2022 in cs.CL and cs.IR

Abstract

The Artificial Intelligence industry regularly develops applications that mostly rely on Knowledge Bases, a data repository about specific, or general, domains, usually represented in a graph shape. Similar to other databases, they face two main challenges: information ingestion and information retrieval. We approach these challenges by jointly learning graph extraction from text and text generation from graphs. The proposed solution, a T5 architecture, is trained in a multi-task semi-supervised environment, with our collected non-parallel data, following a cycle training regime. Experiments on WebNLG dataset show that our approach surpasses unsupervised state-of-the-art results in text-to-graph and graph-to-text. More relevantly, our framework is more consistent across seen and unseen domains than supervised models. The resulting model can be easily trained in any new domain with non-parallel data, by simply adding text and graphs about it, in our cycle framework.

Overview

The paper provides detailed instructions on formatting author information in academic papers using LaTeX, especially for submissions to the IJCAI--22 Proceedings.
It discusses how to correctly list authors and their affiliations, using specific commands to ensure clarity and alignment in the document's layout.
The implications of these formatting standards are explored, emphasizing their role in enhancing readability, accurate information presentation, and anticipating changes in formatting standards due to evolving technology.

Understanding LaTeX Formatting for Author Details in Academic Papers

Introduction to LaTeX Formatting for Author Information

LaTeX is a powerful tool used widely for academic writing, especially in the sciences and engineering. It provides a professional layout for documents, which is crucial in the structured world of academic publications. This particular paper outlines how to format author information in a submission to the IJCAI--22 Proceedings, serving as both a guide and a template for future submissions to this conference.

Detailed Guidance on Author Name Formatting

Authors face several specific requirements when listing their names in a paper:

The Final Author should use a newline command (\\) after their name.
For Penultimate Authors, there should be an \And command after their name.
All Other Authors should use an \and command.

This structure ensures clarity and correct alignment of author names in the formatted document.

Affiliations and Their Placement

Organizing affiliations is equally essential:

After listing all authors, start the affiliations section with the \affiliations command.
End each affiliation entry with a newline command, ensuring it includes even the last affiliation.

Properly indicating affiliations is vital for correctly attributing the work and for potential conflicts of interest.

Complex Author-Affiliation Scenarios

In scenarios where multiple authors have multiple affiliations, precision in mapping is crucial:

Use numeric superscripts to denote affiliations next to each author's name.
Remember to use numbers only, as symbols are reserved for footnotes within this section.

This mapping provides a clear, unambiguous understanding of each author's institutional relationships.

Optional Emails Section

Including an email list can be optional:

If included, start with the \emails command.
List all or only the contact authors’ emails.
Format collective emails on the same domain together for simplicity.

This section helps in maintaining transparency and providing clear points of contact.

Implications and Future Directions

Correctly formatting documents according to specific conference guidelines, like those of IJCAI, is not just about following rules but about enhancing readability and ensuring information is clearly communicated. Accuracy in these details reflects the thoroughness and precision of the research itself.

Moreover, as AI and technology fields evolve, so too might the standards for document formatting. Keeping abreast of these changes is crucial for researchers. Future updates might incorporate more digital-friendly formatting requirements reflecting the growing trend towards open-access and electronic-only publication formats.

This paper’s guidelines set a clear standard for present submissions and anticipate the meticulous nature required in academic document preparation. Such attention to detail ensures that all participants in the academic discourse are on equal footing when it comes to understanding author contributions and affiliations, ultimately supporting the integrity of the academic publishing process.

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