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Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel
  Document-level Representation

Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation

23 February 2019
Radu Tudor Ionescu
Andrei M. Butnaru
ArXivPDFHTML

Papers citing "Vector of Locally-Aggregated Word Embeddings (VLAWE): A Novel Document-level Representation"

5 / 5 papers shown
Title
Surge Routing: Event-informed Multiagent Reinforcement Learning for
  Autonomous Rideshare
Surge Routing: Event-informed Multiagent Reinforcement Learning for Autonomous Rideshare
Daniel Garces
Stephanie Gil
AI4TS
36
2
0
05 Jul 2023
NoPPA: Non-Parametric Pairwise Attention Random Walk Model for Sentence
  Representation
NoPPA: Non-Parametric Pairwise Attention Random Walk Model for Sentence Representation
Xuansheng Wu
Zhiyi Zhao
Ninghao Liu
27
0
0
24 Feb 2023
UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning
UnibucKernel: Geolocating Swiss German Jodels Using Ensemble Learning
Mihaela Găman
Sebastian Cojocariu
Radu Tudor Ionescu
35
4
0
18 Feb 2021
Clustering Word Embeddings with Self-Organizing Maps. Application on
  LaRoSeDa -- A Large Romanian Sentiment Data Set
Clustering Word Embeddings with Self-Organizing Maps. Application on LaRoSeDa -- A Large Romanian Sentiment Data Set
A. Tache
Mihaela Găman
Radu Tudor Ionescu
21
24
0
11 Jan 2021
Convolutional Neural Networks for Sentence Classification
Convolutional Neural Networks for Sentence Classification
Yoon Kim
AILaw
VLM
312
13,377
0
25 Aug 2014
1