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Graph-based Topic Extraction from Vector Embeddings of Text Documents:
  Application to a Corpus of News Articles

Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles

28 October 2020
M. Altuncu
S. Yaliraki
Mauricio Barahona
ArXivPDFHTML

Papers citing "Graph-based Topic Extraction from Vector Embeddings of Text Documents: Application to a Corpus of News Articles"

4 / 4 papers shown
Title
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers
Iryna Gurevych
1.1K
12,129
0
27 Aug 2019
Topic Modeling in Embedding Spaces
Topic Modeling in Embedding Spaces
Adji Bousso Dieng
Francisco J. R. Ruiz
David M. Blei
BDL
159
640
0
08 Jul 2019
From Free Text to Clusters of Content in Health Records: An Unsupervised
  Graph Partitioning Approach
From Free Text to Clusters of Content in Health Records: An Unsupervised Graph Partitioning Approach
M. Altuncu
Erik Mayer
S. Yaliraki
Mauricio Barahona
26
30
0
14 Nov 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
186
11,542
0
15 Feb 2018
1