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Amr Ahmed

4 أوراق في مجموعة PaperMetrix

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أوراق هذا المؤلف

  1. Annotating Needles in the Haystack without Looking

    2015

    Business-to-consumer (B2C) emails are usually generated by filling structured user data (e.g.purchase, event) into templates. Extracting structured data from B2C emails allows users to track important information on various devices.

  2. Predicting Latent Structured Intents from Shopping Queries

    2017

    In online shopping, users usually express their intent through search queries. However, these queries are often ambiguous. For example, it is more likely (and easier) for users to write a query like "high-end bike" than …

  3. Recurrent Recommender Networks

    2017

    Recommender systems traditionally assume that user profiles and movie attributes are static. Temporal dynamics are purely reactive, that is, they are inferred after they are observed, e.g. after a user's taste has changed or based …

  4. Big Bird: Transformers for Longer Sequences

    2020 · arXiv (Cornell University)

    Transformers-based models, such as BERT, have been one of the most successful deep learning models for NLP. Unfortunately, one of their core limitations is the quadratic dependency (mainly in terms of memory) on the sequence …