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

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 14 Mar 2022Publisher:ZenodoFunded by:UKRI | Twenty20Insight, UKRI | Turing AI Fellowship: Eve...

Authors: Zhu, Lixing; He, Yulan; Zhou, Deyu;

doi: 10.5281/zenodo.6352450 , 10.5281/zenodo.6352449

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

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Abstract

topical_wordvec_models You first need to create a save folder for training. Download the [saved model](https://topicvecmodels.s3.eu-west-2.amazonaws.com/save/47/model) and place it in ./save/47/ to run the trained model. To construct the training set, refer to https://github.com/somethingx02/topical_wordvec_model please. Trained [wordvecs](https://topicvecmodels.s3.eu-west-2.amazonaws.com/save/47/aggrd_all_wordrep.txt).

Related Organizations

Southeast University
China (People's Republic of)
University of Warwick
United Kingdom

Keywords

Event, Representation Learning, Natural Language Processing

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