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Researcher profile

Tomáš Mikolov

7 papers in the PaperMetrix corpus

Publications

Papers by this author

  1. Updating Pre-trained Word Vectors and Text Classifiers using Monolingual Alignment

    2019 · arXiv (Cornell University)

    In this paper, we focus on the problem of adapting word vector-based models to new textual data. Given a model pre-trained on large reference data, how can we adapt it to a smaller piece of …

  2. Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

    2015 · arXiv (Cornell University)

    One long-term goal of machine learning research is to produce methods that are applicable to reasoning and natural language, in particular building an intelligent dialogue agent. To measure progress towards that goal, we argue for …

  3. Bag of Tricks for Efficient Text Classification

    2017

    Armand Joulin, Edouard Grave, Piotr Bojanowski, Tomas Mikolov. Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers. 2017.

  4. Enriching Word Vectors with Subword Information

    2017 · Transactions of the Association for Computational Linguistics

    Continuous word representations, trained on large unlabeled corpora are useful for many natural language processing tasks. Popular models that learn such representations ignore the morphology of words, by assigning a distinct vector to each word. …

  5. Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterion

    2018

    Continuous word representations learned separately on distinct languages can be aligned so that their words become comparable in a common space. Existing works typically solve a quadratic problem to learn a orthogonal matrix aligning a …

  6. Enriching Word Vectors with Subword Information

    2016 · arXiv (Cornell University)

    Continuous word representations, trained on large unlabeled corpora are useful for many natural language processing tasks. Popular models that learn such representations ignore the morphology of words, by assigning a distinct vector to each word. …

  7. Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

    2016 · International Conference on Learning Representations

    Abstract: One long-term goal of machine learning research is to produce methods that are applicable to reasoning and natural language, in particular building an intelligent dialogue agent. To measure progress towards that goal, we argue …