Constraint-embedded paraphrase generation for commercial tweets

Renhao Cui, Gagan Agrawal, Rajiv Ramnath

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Automated generation of commercial tweets has become a useful and important tool in the use of social media for marketing and advertising. In this context, paraphrase generation has emerged as an important problem. This type of paraphrase generation has the unique requirement of requiring certain elements to be kept in the result, such as the product name or the promotion details. To address this need, we propose a Constraint-Embedded Language Modeling (CELM) framework, in which hard constraints are embedded in the text content and learned through a language model. This embedding helps the model learn not only paraphrase generation but also constraints in the content of the paraphrase specific to commercial tweets. In addition, we apply knowledge learned from a general domain to the generation task of commercial tweets. Our model is shown to outperform general paraphrase generation models as well as the state-of-the-art CopyNet model, in terms of paraphrase similarity, diversity, and the ability to conform to hard constraints.

    Original languageEnglish (US)
    Title of host publicationProceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021
    EditorsMichele Coscia, Alfredo Cuzzocrea, Kai Shu
    PublisherAssociation for Computing Machinery, Inc
    Pages369-376
    Number of pages8
    ISBN (Electronic)9781450391283
    DOIs
    StatePublished - Nov 8 2021
    Event13th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021 - Virtual, Online, Netherlands
    Duration: Nov 8 2021 → …

    Publication series

    NameProceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021

    Conference

    Conference13th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2021
    Country/TerritoryNetherlands
    CityVirtual, Online
    Period11/8/21 → …

    ASJC Scopus subject areas

    • Computer Networks and Communications
    • Social Sciences(all)
    • Computer Science Applications
    • Software

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