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Document Embedding with Paragraph Vectors

Document Embedding with Paragraph Vectors

29 July 2015
Andrew M. Dai
C. Olah
Quoc V. Le
ArXivPDFHTML

Papers citing "Document Embedding with Paragraph Vectors"

26 / 26 papers shown
Title
Plug-and-Play Document Modules for Pre-trained Models
Plug-and-Play Document Modules for Pre-trained Models
Chaojun Xiao
Zhengyan Zhang
Xu Han
Chi-Min Chan
Yankai Lin
Zhiyuan Liu
Xiangyang Li
Zhonghua Li
Bo Zhao
Maosong Sun
KELM
39
5
0
28 May 2023
Cross-domain recommendation via user interest alignment
Cross-domain recommendation via user interest alignment
Chuang Zhao
Hongke Zhao
Ming He
Jian Zhang
Jianping Fan
25
65
0
26 Jan 2023
PRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection
  of Open Data
PRIVEE: A Visual Analytic Workflow for Proactive Privacy Risk Inspection of Open Data
Kaustav Bhattacharjee
A. Islam
Jaideep Vaidya
Aritra Dasgupta
24
6
0
12 Aug 2022
HET: Scaling out Huge Embedding Model Training via Cache-enabled
  Distributed Framework
HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework
Xupeng Miao
Hailin Zhang
Yining Shi
Xiaonan Nie
Zhi-Xin Yang
Yangyu Tao
Bin Cui
24
57
0
14 Dec 2021
Evaluation of Text Generation: A Survey
Evaluation of Text Generation: A Survey
Asli Celikyilmaz
Elizabeth Clark
Jianfeng Gao
ELM
LM&MA
44
378
0
26 Jun 2020
SLAM-Inspired Simultaneous Contextualization and Interpreting for
  Incremental Conversation Sentences
SLAM-Inspired Simultaneous Contextualization and Interpreting for Incremental Conversation Sentences
Yusuke Takimoto
Yosuke Fukuchi
Shoya Matsumori
M. Imai
36
2
0
29 May 2020
Exploring aspects of similarity between spoken personal narratives by
  disentangling them into narrative clause types
Exploring aspects of similarity between spoken personal narratives by disentangling them into narrative clause types
Belén Saldías
D. Roy
37
13
0
26 May 2020
Layered Graph Embedding for Entity Recommendation using Wikipedia in the
  Yahoo! Knowledge Graph
Layered Graph Embedding for Entity Recommendation using Wikipedia in the Yahoo! Knowledge Graph
Chien-Chun Ni
Kin Sum Liu
Nicolas Torzec
9
30
0
15 Apr 2020
Geosocial Location Classification: Associating Type to Places Based on
  Geotagged Social-Media Posts
Geosocial Location Classification: Associating Type to Places Based on Geotagged Social-Media Posts
Elad Kravi
B. Kimelfeld
Y. Kanza
Roi Reichart
27
2
0
05 Feb 2020
Speeding up Word Mover's Distance and its variants via properties of
  distances between embeddings
Speeding up Word Mover's Distance and its variants via properties of distances between embeddings
Matheus Werner
E. Laber
11
14
0
01 Dec 2019
Textual Data for Time Series Forecasting
Textual Data for Time Series Forecasting
David Obst
B. Ghattas
Sandra Claudel
Jairo Cugliari
Y. Goude
G. Oppenheim
AI4TS
23
4
0
25 Oct 2019
Structure-Invariant Testing for Machine Translation
Structure-Invariant Testing for Machine Translation
Pinjia He
Clara Meister
Z. Su
27
104
0
19 Jul 2019
Low-supervision urgency detection and transfer in short crisis messages
Low-supervision urgency detection and transfer in short crisis messages
Mayank Kejriwal
Peilin Zhou
24
12
0
15 Jul 2019
Sherlock: A Deep Learning Approach to Semantic Data Type Detection
Sherlock: A Deep Learning Approach to Semantic Data Type Detection
Madelon Hulsebos
K. Hu
Michiel A. Bakker
Emanuel Zgraggen
Arvind Satyanarayan
Tim Kraska
cCaugatay Demiralp
César A. Hidalgo
HAI
27
180
0
25 May 2019
On the Use of ArXiv as a Dataset
On the Use of ArXiv as a Dataset
Colin B. Clement
Matthew Bierbaum
K. O’Keeffe
Alexander A. Alemi
AI4CE
16
129
0
30 Apr 2019
Data augmentation for low resource sentiment analysis using generative
  adversarial networks
Data augmentation for low resource sentiment analysis using generative adversarial networks
Rahul Gupta
GAN
36
30
0
18 Feb 2019
Text Similarity in Vector Space Models: A Comparative Study
Text Similarity in Vector Space Models: A Comparative Study
O. Shahmirzadi
A. Lugowski
Kenneth Younge
24
81
0
24 Sep 2018
Theme-weighted Ranking of Keywords from Text Documents using Phrase
  Embeddings
Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings
Debanjan Mahata
John Kuriakose
R. Shah
Roger Zimmermann
J. Talburt
26
25
0
16 Jul 2018
Interpretable probabilistic embeddings: bridging the gap between topic
  models and neural networks
Interpretable probabilistic embeddings: bridging the gap between topic models and neural networks
Anna Potapenko
Artem Popov
K. Vorontsov
BDL
30
14
0
11 Nov 2017
Context Aware Document Embedding
Context Aware Document Embedding
Zhaocheng Zhu
Junfeng Hu
38
9
0
05 Jul 2017
SimDoc: Topic Sequence Alignment based Document Similarity Framework
SimDoc: Topic Sequence Alignment based Document Similarity Framework
Gaurav Maheshwari
Priyansh Trivedi
Harshita Sahijwani
Kunal Jha
Sourish Dasgupta
Jens Lehmann
35
7
0
15 Nov 2016
Getting Started with Neural Models for Semantic Matching in Web Search
Getting Started with Neural Models for Semantic Matching in Web Search
Kezban Dilek Onal
I. S. Altingövde
Pinar Senkul
Maarten de Rijke
VLM
3DV
31
9
0
08 Nov 2016
Towards Music Captioning: Generating Music Playlist Descriptions
Towards Music Captioning: Generating Music Playlist Descriptions
Keunwoo Choi
Gyorgy Fazekas
Brian McFee
Kyunghyun Cho
Mark Sandler
38
13
0
17 Aug 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhehuai Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
131
18,268
0
27 May 2016
Semantic Regularities in Document Representations
Semantic Regularities in Document Representations
Fei Sun
Jiafeng Guo
Yanyan Lan
Jun Xu
Xueqi Cheng
NAI
27
8
0
24 Mar 2016
Contextual LSTM (CLSTM) models for Large scale NLP tasks
Contextual LSTM (CLSTM) models for Large scale NLP tasks
Shalini Ghosh
Oriol Vinyals
B. Strope
Scott Roy
Tom Dean
Larry Heck
25
213
0
19 Feb 2016
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