Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec

6 May 2016

Papers citing "Mixing Dirichlet Topic Models and Word Embeddings to Make lda2vec"

14 / 14 papers shown

Title
A Novel Method for News Article Event-Based Embedding Koren Ishlach Itzhak Ben-David Michael Fire Lior Rokach 72 0 0 20 May 2024
A Process for Topic Modelling Via Word Embeddings Diego Saldana Ulloa 33 0 0 06 Oct 2023
Causal effect of racial bias in data and machine learning algorithms on user persuasiveness & discriminatory decision making: An Empirical Study Kinshuk Sengupta Praveen Ranjan Srivastava 74 6 0 22 Jan 2022
Survey of Generative Methods for Social Media Analysis Stan Matwin Aristides Milios P. Prałat Amilcar Soares Franccois Théberge 66 4 0 13 Dec 2021
Structural Text Segmentation of Legal Documents Dennis Aumiller Satya Almasian S. Lackner Michael Gertz AILaw 73 30 0 07 Dec 2020
Can questions summarize a corpus? Using question generation for characterizing COVID-19 research Gabriela Surita Rodrigo Nogueira R. Lotufo 39 7 0 19 Sep 2020
P-SIF: Document Embeddings Using Partition Averaging Vivek Gupta A. Saw Pegah Nokhiz Praneeth Netrapalli Piyush Rai Partha P. Talukdar 46 25 0 18 May 2020
Discovering topics with neural topic models built from PLSA assumptions Silèye O. Ba BDL 26 2 0 25 Nov 2019
Neural Embedding Allocation: Distributed Representations of Topic Models Kamrun Naher Keya Yannis Papanikolaou James R. Foulds BDL 67 5 0 10 Sep 2019
Semantic Concept Spaces: Guided Topic Model Refinement using Word-Embedding Projections Mennatallah El-Assady Rebecca Kehlbeck C. Collins Daniel A. Keim Oliver Deussen 56 43 0 01 Aug 2019
Topic Modeling in Embedding Spaces Adji Bousso Dieng Francisco J. R. Ruiz David M. Blei BDL 215 648 0 08 Jul 2019
Mixing syntagmatic and paradigmatic information for concept detection L. Chartrand Mohamed Bouguessa 44 2 0 09 Apr 2019
Deep Neural Networks for Query Expansion using Word Embeddings Feryal M. P. Behbahani Amir Vakili Ali Montazer A. Shakery 43 40 0 08 Nov 2018
Imparting Interpretability to Word Embeddings while Preserving Semantic Structure Lutfi Kerem Senel Ihsan Utlu Furkan Şahinuç H. Ozaktas Aykut Kocc 89 14 0 19 Jul 2018