From Paraphrase Database to Compositional Paraphrase Model and Back

@article{Wieting2015FromPD,
  title={From Paraphrase Database to Compositional Paraphrase Model and Back},
  author={J. Wieting and Mohit Bansal and Kevin Gimpel and Karen Livescu},
  journal={Transactions of the Association for Computational Linguistics},
  year={2015},
  volume={3},
  pages={345-358}
}
  • J. Wieting, Mohit Bansal, +1 author Karen Livescu
  • Published 2015
  • Computer Science
  • Transactions of the Association for Computational Linguistics
  • The Paraphrase Database (PPDB; Ganitkevitch et al., 2013) is an extensive semantic resource, consisting of a list of phrase pairs with (heuristic) confidence estimates. However, it is still unclear how it can best be used, due to the heuristic nature of the confidences and its necessarily incomplete coverage. We propose models to leverage the phrase pairs from the PPDB to build parametric paraphrase models that score paraphrase pairs more accurately than the PPDB’s internal scores while… CONTINUE READING
    227 Citations

    Topics from this paper

    Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext
    • 51
    • PDF
    Towards Universal Paraphrastic Sentence Embeddings
    • 418
    • PDF
    Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations
    • 136
    • PDF
    THE IMPORTANCE OF SUBWORD EMBEDDINGS IN SENTENCE PAIR MODELING
    • 2
    • PDF
    Explorer Paraphrasing Revisited with Neural Machine Translation
    • PDF
    Paraphrasing Revisited with Neural Machine Translation
    • 112
    • PDF
    Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings
    • 62
    • PDF
    A Continuously Growing Dataset of Sentential Paraphrases
    • 55
    • PDF
    Character-Based Neural Networks for Sentence Pair Modeling
    • 5
    • PDF

    References

    SHOWING 1-10 OF 45 REFERENCES
    PPDB: The Paraphrase Database
    • 613
    • PDF
    Semantic Parsing via Paraphrasing
    • 402
    • PDF
    Monolingual Machine Translation for Paraphrase Generation
    • 325
    • PDF
    Paraphrasing with Bilingual Parallel Corpora
    • 581
    • PDF
    Jointly Learning Word Representations and Composition Functions Using Predicate-Argument Structures
    • 36
    • PDF
    A Survey of Paraphrasing and Textual Entailment Methods
    • 405
    • PDF
    Improved Statistical Machine Translation Using Monolingually-Derived Paraphrases
    • 160
    • PDF