Keyword Analysis & Research: mturk771


Keyword Analysis

Keyword CPC PCC Volume Score Length of keyword
mturk7710.160.64190818

Keyword Research: People who searched mturk771 also searched

Keyword CPC PCC Volume Score
mturk-7711.870.223394

Search Results related to mturk771 on Search Engine

  • A Brain-inspired Computational Model for Human-like …

    arxiv.org:443

    https://arxiv.org:443/html/2401.06471v1

    DA: 62 PA: 97 MOZ Rank: 54

  • Evaluating semantic similarity and relatedness between …

    sciencedirect.com:443

    https://www.sciencedirect.com:443/science/article/abs/pii/S0020025523000075

    WEBMay 1, 2023 · Finally, to show the effectiveness of the proposed approach, we evaluate …

    DA: 55 PA: 55 MOZ Rank: 52

  • Language with vision: A study on grounded word and …

    springer.com:443

    https://link.springer.com:443/article/10.3758/s13428-023-02294-z

    WEBMTurk771 (Halawi et al, 2012) MTurk771 consists of 771 word pairs. The authors used …

    DA: 35 PA: 34 MOZ Rank: 28

  • arXiv:1904.00669v2 [cs.CL] 12 Apr 2019

    arxiv.org:443

    https://arxiv.org:443/pdf/1904.00669.pdf

    WEBIntroduction. Word embedding algorithms (Mikolov et al., 2013; Pennington et al., 2014; …

    DA: 37 PA: 95 MOZ Rank: 27

  • GitHub - vecto-ai/word-benchmarks: Benchmarks for …

    github.com:443

    https://github.com:443/vecto-ai/word-benchmarks

    WEBMTurk-771 (acronym for Mechanical Turk), 771 pairs assessed by semantic relatedness …

    DA: 68 PA: 98 MOZ Rank: 64

  • Wikipedia bi-linear link (WBLM) model: A new approach …

    sciencedirect.com:443

    https://www.sciencedirect.com:443/science/article/pii/S030645732200303X

    WEBMar 1, 2023 · MTurk771 (Halawi, Dror, Gabrilovich, & Koren, 2012) comprises 771 word …

    DA: 56 PA: 79 MOZ Rank: 35

  • SINr: Fast Computing of Sparse Interpretable Node

    springer.com:443

    https://link.springer.com:443/chapter/10.1007/978-3-030-74251-5_26

    WEBApr 13, 2021 · The first four datasets (MC28, RG65, MTurk771 and WS353Rel) are …

    DA: 67 PA: 33 MOZ Rank: 57

  • Word2vec Skip-gram Dimensionality Selection via …

    arxiv.org:443

    https://arxiv.org:443/pdf/2008.07720

    WEBthe WordSim353 (WS), MTurk771 (MTurk), and Google word analogy (WA) datasets are …

    DA: 47 PA: 31 MOZ Rank: 35

  • Word2vec Skip-Gram Dimensionality Selection via …

    mdpi-res.com:443

    https://mdpi-res.com:443/d_attachment/entropy/entropy-23-00997/article_deploy/entropy-23-00997-v2.pdf?version=1628058096

    WEBperformance of the model in tasks such as Google word analogy, Wordsim353, …

    DA: 33 PA: 85 MOZ Rank: 99

  • A Neural Generative Model for Joint Learning Topics and Topic-Specific

    mit.edu:443

    https://direct.mit.edu:443/tacl/article/doi/10.1162/tacl_a_00326/96487/A-Neural-Generative-Model-for-Joint-Learning

    WEBJul 1, 2020 · Abstract. We propose a novel generative model to explore both local and global context for joint learning topics and topic-specific word embeddings. In particular, we assume that global latent topics are shared across documents, a word is generated by a hidden semantic vector encoding its contextual semantic meaning, and its context words …

    DA: 67 PA: 74 MOZ Rank: 2