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Sachin Ravi - One of the best experts on this subject based on the ideXlab platform.

  • Learning the Dimensionality of Word Embeddings
    arXiv: Machine Learning, 2015
    Co-Authors: Eric T. Nalisnick, Sachin Ravi
    Abstract:

    We describe a method for learning word embeddings with data-dependent dimensionality. Our Stochastic Dimensionality Skip-Gram (SD-SG) and Stochastic Dimensionality Continuous Bag-of-Words (SD-CBOW) are nonparametric analogs of Mikolov et al.'s (2013) well-known 'word2vec' models. Vector dimensionality is made dynamic by employing techniques used by Cote & Larochelle (2016) to define an RBM with an infinite number of hidden units. We show qualitatively and quantitatively that SD-SG and SD-CBOW are competitive with their fixed-dimension counterparts while providing a distribution over embedding dimensionalities, which offers a window into how semantics distribute across dimensions.

  • Infinite Dimensional Word Embeddings
    arXiv: Machine Learning, 2015
    Co-Authors: Eric T. Nalisnick, Sachin Ravi
    Abstract:

    We describe a method for learning word embeddings with stochastic dimensionality. Our Infinite Skip-Gram (iSG) model specifies an energy-based joint distribution over a word vector, a context vector, and their dimensionality. By employing the same techniques used to make the Infinite Restricted Boltzmann Machine (Cote & Larochelle, 2015) tractable, we define vector dimensionality over a countably infinite domain, allowing vectors to grow as needed during training. After training, we find that the distribution over embedding dimensionality for a given word is highly interpretable and leads to an elegant probabilistic mechanism for word sense induction. We show qualitatively and quantitatively that the iSG produces parameter-efficient representations that are robust to language's inherent ambiguity.

Eric T. Nalisnick - One of the best experts on this subject based on the ideXlab platform.

  • Learning the Dimensionality of Word Embeddings
    arXiv: Machine Learning, 2015
    Co-Authors: Eric T. Nalisnick, Sachin Ravi
    Abstract:

    We describe a method for learning word embeddings with data-dependent dimensionality. Our Stochastic Dimensionality Skip-Gram (SD-SG) and Stochastic Dimensionality Continuous Bag-of-Words (SD-CBOW) are nonparametric analogs of Mikolov et al.'s (2013) well-known 'word2vec' models. Vector dimensionality is made dynamic by employing techniques used by Cote & Larochelle (2016) to define an RBM with an infinite number of hidden units. We show qualitatively and quantitatively that SD-SG and SD-CBOW are competitive with their fixed-dimension counterparts while providing a distribution over embedding dimensionalities, which offers a window into how semantics distribute across dimensions.

  • Infinite Dimensional Word Embeddings
    arXiv: Machine Learning, 2015
    Co-Authors: Eric T. Nalisnick, Sachin Ravi
    Abstract:

    We describe a method for learning word embeddings with stochastic dimensionality. Our Infinite Skip-Gram (iSG) model specifies an energy-based joint distribution over a word vector, a context vector, and their dimensionality. By employing the same techniques used to make the Infinite Restricted Boltzmann Machine (Cote & Larochelle, 2015) tractable, we define vector dimensionality over a countably infinite domain, allowing vectors to grow as needed during training. After training, we find that the distribution over embedding dimensionality for a given word is highly interpretable and leads to an elegant probabilistic mechanism for word sense induction. We show qualitatively and quantitatively that the iSG produces parameter-efficient representations that are robust to language's inherent ambiguity.

Marie-claude Larivière - One of the best experts on this subject based on the ideXlab platform.

  • Taxonomic Supplement (2001 to 2015) to the Catalogue of New Zealand Carabidae (Insecta: Coleoptera)
    2016
    Co-Authors: André Larochelle, Marie-claude Larivière
    Abstract:

    A supplement to the “Carabidae (Insecta: Coleoptera): catalogue” published by Larochelle and Lariviere (2001; Fauna of New Zealand 43), is provided. A total of 99 genera and 547 species and subspecies belonging to 21 tribes and 8 subfamilies of Carabidae (including Cicindelini and Rhysodini), is recorded for New Zealand. Endemism is high, with 93% of the species and subspecies as well as 62% of the genera recorded from this country only. Changes to the 2001 catalogue are documented. The synonymy and type locality of taxa described between 2001 and 2015 are also provided.

  • Checklist of the New Zealand Heteroptera (Insecta: Hemiptera): an update based on the 2004 to 2013 literature
    Zootaxa, 2014
    Co-Authors: Marie-claude Larivière, André Larochelle
    Abstract:

    An updated checklist of the New Zealand Heteroptera (Insecta: Hemiptera) is provided as a supplement to the “Heteroptera (Insecta: Hemiptera): catalogue” of Lariviere and Larochelle (2004: Fauna of New Zealand 50 ). A total of 142 genera and 319 species belonging to 28 families are recorded for New Zealand. Changes to the 2004 catalogue are documented. The synonymy and primary type information of taxa described between 2004 and July 2013 are also given. The presence of the anthocorid Macrotrachelia nigronitens in New Zealand is confirmed.

  • Article
    2013
    Co-Authors: Marie-claude Larivière, André Larochelle
    Abstract:

    An updated checklist of the New Zealand Heteroptera (Insecta: Hemiptera) is provided as a supplement to the “Heteroptera (Insecta: Hemiptera): catalogue ” of Larivière and Larochelle (2004: Fauna of New Zealand 50). A total of 142 genera and 319 species belonging to 28 families are recorded for New Zealand. Changes to the 2004 catalogue are documented. The synonymy and primary type information of taxa described between 2004 and July 2013 are also given. The presence of the anthocorid Macrotrachelia nigronitens in New Zealand is confirmed

  • A natural history of the ground-beetles (Coleoptera: Carabidae) of America north of Mexico
    2003
    Co-Authors: André Larochelle, Marie-claude Larivière
    Abstract:

    This volume provides a summary of the natural history of the ground beetles (Coleoptera: Carabidae and over 2400 taxa) from North America north of Mexico. Under each taxon, the ecology, biology, dispersal power, collecting techniques and selected references are given. The section on ecology comprises the following: altitudinal distribution, habitat, diel activity and gregariousness. The section dealing with biology gives details on seasonality, mating, gravid females or oviposition, tenerals, over-wintering, feeding, predation, parasitism and defence-mechanism. The section on dispersal power, or the capability of dispersal, has been assessed when possible using three main criteria: wing condition, flight data (including light-trapping observations) and other locomotory habits. The section on collecting techniques provides the best means of capture. The section references list the most relevant papers, with appropriate key words, and an exhaustive bibliography dealing with the natural history of North American Carabidae is also provided. This work follows the "Catalogue of Bousquet and Larochelle" (1993), "Catalogue of the Geadephaga (Coleoptera: Trachypachydae, Rhysodidae, Carabidae including Cicindelini of America north of Mexico) which provided nomenclatural and distributional information on North American ground beetles

Anne Watson - One of the best experts on this subject based on the ideXlab platform.

Larivière Marie-claude - One of the best experts on this subject based on the ideXlab platform.