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P-SIF: Document Embeddings Using Partition Averaging

P-SIF: Document Embeddings Using Partition Averaging

18 May 2020
Vivek Gupta
A. Saw
Pegah Nokhiz
Praneeth Netrapalli
Piyush Rai
Partha P. Talukdar
ArXiv (abs)PDFHTML

Papers citing "P-SIF: Document Embeddings Using Partition Averaging"

6 / 6 papers shown
Title
Unsupervised Contextualized Document Representation
Unsupervised Contextualized Document Representation
Ankur Gupta
Vivek Gupta
26
2
0
22 Sep 2021
Re-evaluating Word Mover's Distance
Re-evaluating Word Mover's Distance
Ryoma Sato
M. Yamada
H. Kashima
119
24
0
30 May 2021
Extending Multi-Sense Word Embedding to Phrases and Sentences for
  Unsupervised Semantic Applications
Extending Multi-Sense Word Embedding to Phrases and Sentences for Unsupervised Semantic Applications
Haw-Shiuan Chang
Amol Agrawal
Andrew McCallum
76
9
0
29 Mar 2021
Corruption Is Not All Bad: Incorporating Discourse Structure into
  Pre-training via Corruption for Essay Scoring
Corruption Is Not All Bad: Incorporating Discourse Structure into Pre-training via Corruption for Essay Scoring
Farjana Sultana Mim
Naoya Inoue
Paul Reisert
Hiroki Ouchi
Kentaro Inui
54
7
0
13 Oct 2020
Efficient Sentence Embedding via Semantic Subspace Analysis
Efficient Sentence Embedding via Semantic Subspace Analysis
Bin Wang
Fenxiao Chen
Yun Cheng Wang
C.-C. Jay Kuo
65
10
0
22 Feb 2020
On Dimensional Linguistic Properties of the Word Embedding Space
On Dimensional Linguistic Properties of the Word Embedding Space
Maosen Li
Siheng Chen
Ya Zhang
Florian Metze
45
3
0
05 Oct 2019
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