Improving Document Classification with Multi-Sense Embeddings

Improving Document Classification with Multi-Sense Embeddings

18 November 2019

Vivek Gupta

Partha P. Talukdar

Papers citing "Improving Document Classification with Multi-Sense Embeddings"

11 / 11 papers shown

Title
The Dynamic Embedded Topic Model Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei BDL 50 87 0 12 Jul 2019
Topic Modeling in Embedding Spaces Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei BDL 175 642 0 08 Jul 2019
Improving Topic Models with Latent Feature Word Representations Dat Quoc Nguyen R. Billingsley Lan Du Mark Johnson 50 343 0 15 Oct 2018
Concatenated Power Mean Word Embeddings as Universal Cross-Lingual Sentence Representations Andreas Rucklé Steffen Eger Maxime Peyrard Iryna Gurevych 157 99 0 04 Mar 2018
Product Classification in E-Commerce using Distributional Semantics Vivek Gupta H. Karnick A. Bansal Pradhuman Jhala 40 43 0 20 Jun 2016
Generative Topic Embedding: a Continuous Representation of Documents (Extended Version with Proofs) Shaohua Li Tat-Seng Chua Jun Zhu Chunyan Miao 30 107 0 09 Jun 2016
Do Multi-Sense Embeddings Improve Natural Language Understanding? Jiwei Li Dan Jurafsky 60 234 0 02 Jun 2015
Breaking Sticks and Ambiguities with Adaptive Skip-gram Sergey Bartunov D. Kondrashkin A. Osokin Dmitry Vetrov BDL 39 161 0 25 Feb 2015
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 615 13,420 0 25 Aug 2014
Distributed Representations of Sentences and Documents Quoc V. Le Tomas Mikolov FaML 251 9,239 0 16 May 2014
A Convolutional Neural Network for Modelling Sentences Nal Kalchbrenner Edward Grefenstette Phil Blunsom 98 3,558 0 08 Apr 2014

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