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Distributed Representations of Words and Phrases and their
  Compositionality

Distributed Representations of Words and Phrases and their Compositionality

16 October 2013
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
    NAI
    OCL
ArXivPDFHTML

Papers citing "Distributed Representations of Words and Phrases and their Compositionality"

50 / 3,105 papers shown
Title
Two to Five Truths in Non-Negative Matrix Factorization
Two to Five Truths in Non-Negative Matrix Factorization
John M. Conroy
Neil P. Molino
Brian Baughman
Rod Gomez
Ryan Kaliszewski
Nicholas A. Lines
23
0
0
06 May 2023
Improved Logical Reasoning of Language Models via Differentiable
  Symbolic Programming
Improved Logical Reasoning of Language Models via Differentiable Symbolic Programming
Hanlin Zhang
Jiani Huang
Ziyang Li
Mayur Naik
Eric P. Xing
ReLM
LRM
35
28
0
05 May 2023
Long-Tailed Recognition by Mutual Information Maximization between
  Latent Features and Ground-Truth Labels
Long-Tailed Recognition by Mutual Information Maximization between Latent Features and Ground-Truth Labels
Min-Kook Suh
Seung-Woo Seo
SSL
46
14
0
02 May 2023
Are the Best Multilingual Document Embeddings simply Based on Sentence
  Embeddings?
Are the Best Multilingual Document Embeddings simply Based on Sentence Embeddings?
Sonal Sannigrahi
Josef van Genabith
C. España-Bonet
AILaw
42
4
0
28 Apr 2023
Hedonic Prices and Quality Adjusted Price Indices Powered by AI
Hedonic Prices and Quality Adjusted Price Indices Powered by AI
Patrick Bajari
Zhihao Cen
Victor Chernozhukov
Manoj Manukonda
Suhas Vijaykumar
...
Ramon Huerta
Junbo Li
Ling Leng
George Monokroussos
Shan Wan
36
13
0
28 Apr 2023
Compressing Sentence Representation with maximum Coding Rate Reduction
Compressing Sentence Representation with maximum Coding Rate Reduction
Domagoj Ševerdija
Tomislav Prusina
Antonio Jovanovic
Luka Borozan
Jurica Maltar
Domagoj Matijević
28
2
0
25 Apr 2023
Extreme Classification for Answer Type Prediction in Question Answering
Extreme Classification for Answer Type Prediction in Question Answering
Vinay Setty
27
1
0
24 Apr 2023
Pre-trained Embeddings for Entity Resolution: An Experimental Analysis
  [Experiment, Analysis & Benchmark]
Pre-trained Embeddings for Entity Resolution: An Experimental Analysis [Experiment, Analysis & Benchmark]
Alexandros Zeakis
G. Papadakis
Dimitrios Skoutas
Manolis Koubarakis
40
37
0
24 Apr 2023
FineEHR: Refine Clinical Note Representations to Improve Mortality
  Prediction
FineEHR: Refine Clinical Note Representations to Improve Mortality Prediction
Jun Wu
Xuesong Ye
Chengjie Mou
Weina Dai
64
18
0
24 Apr 2023
Word Sense Induction with Knowledge Distillation from BERT
Word Sense Induction with Knowledge Distillation from BERT
Anik Saha
Alex Gittens
B. Yener
20
1
0
20 Apr 2023
Graph Embedding Augmented Skill Rating System
Graph Embedding Augmented Skill Rating System
Jiasheng Wang
28
1
0
17 Apr 2023
It's All in the Embedding! Fake News Detection Using Document Embeddings
It's All in the Embedding! Fake News Detection Using Document Embeddings
Ciprian-Octavian Truică
Elena Simona Apostol
37
48
0
16 Apr 2023
A Byte Sequence is Worth an Image: CNN for File Fragment Classification
  Using Bit Shift and n-Gram Embeddings
A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings
Wenyang Liu
Yi Wang
Kejun Wu
Kim-Hui Yap
Lap-Pui Chau
26
4
0
14 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning
A Comprehensive Survey on Deep Graph Representation Learning
Wei Ju
Zheng Fang
Yiyang Gu
Zequn Liu
Qingqing Long
...
Jingyang Yuan
Yusheng Zhao
Yifan Wang
Xiao Luo
Ming Zhang
GNN
AI4TS
72
142
0
11 Apr 2023
Automated Reading Passage Generation with OpenAI's Large Language Model
Automated Reading Passage Generation with OpenAI's Large Language Model
Ummugul Bezirhan
M. Davier
AI4Ed
34
23
0
10 Apr 2023
Oh, Jeez! or Uh-huh? A Listener-aware Backchannel Predictor on ASR
  Transcriptions
Oh, Jeez! or Uh-huh? A Listener-aware Backchannel Predictor on ASR Transcriptions
Daniel Ortega
Chia-Yu Li
Ngoc Thang Vu
18
22
0
10 Apr 2023
Toward Cohort Intelligence: A Universal Cohort Representation Learning
  Framework for Electronic Health Record Analysis
Toward Cohort Intelligence: A Universal Cohort Representation Learning Framework for Electronic Health Record Analysis
Changshuo Liu
Wenqiao Zhang
Beng Chin Ooi
J. Yip
Lingze Zeng
Kaiping Zheng
14
1
0
10 Apr 2023
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and
  Why?
Pretrained Embeddings for E-commerce Machine Learning: When it Fails and Why?
Da Xu
Bo Yang
30
3
0
09 Apr 2023
Continual Graph Convolutional Network for Text Classification
Continual Graph Convolutional Network for Text Classification
Tiandeng Wu
Qijiong Liu
Yinhao Cao
yao. huang
Xiao-Ming Wu
Jiandong Ding
GNN
43
10
0
09 Apr 2023
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language
  Models
Should ChatGPT be Biased? Challenges and Risks of Bias in Large Language Models
Emilio Ferrara
SILM
38
248
0
07 Apr 2023
Synthetic Sample Selection for Generalized Zero-Shot Learning
Synthetic Sample Selection for Generalized Zero-Shot Learning
Shreyank N. Gowda
35
16
0
06 Apr 2023
When Crowd Meets Persona: Creating a Large-Scale Open-Domain Persona
  Dialogue Corpus
When Crowd Meets Persona: Creating a Large-Scale Open-Domain Persona Dialogue Corpus
Won Ik Cho
Y. Lee
Seoyeon Bae
Jihwan Kim
S. Park
Moosung Kim
S. Hahn
N. Kim
54
5
0
01 Apr 2023
What Does the Indian Parliament Discuss? An Exploratory Analysis of the
  Question Hour in the Lok Sabha
What Does the Indian Parliament Discuss? An Exploratory Analysis of the Question Hour in the Lok Sabha
Suman Adhya
Debarshi Kumar Sanyal
36
4
0
01 Apr 2023
Sketch-an-Anchor: Sub-epoch Fast Model Adaptation for Zero-shot
  Sketch-based Image Retrieval
Sketch-an-Anchor: Sub-epoch Fast Model Adaptation for Zero-shot Sketch-based Image Retrieval
Leo Sampaio Ferraz Ribeiro
M. Ponti
36
2
0
29 Mar 2023
A Survey on Malware Detection with Graph Representation Learning
A Survey on Malware Detection with Graph Representation Learning
Tristan Bilot
Nour El Madhoun
Khaldoun Al Agha
Anis Zouaoui
AAML
21
20
0
28 Mar 2023
A Multi-Granularity Matching Attention Network for Query Intent
  Classification in E-commerce Retrieval
A Multi-Granularity Matching Attention Network for Query Intent Classification in E-commerce Retrieval
Chunyuan Yuan
Yiming Qiu
Mingming Li
Haiqing Hu
Songlin Wang
Sulong Xu
21
7
0
28 Mar 2023
Distributed Graph Embedding with Information-Oriented Random Walks
Distributed Graph Embedding with Information-Oriented Random Walks
Peng Fang
Arijit Khan
Siqiang Luo
Fang Wang
Dan Feng
Zhenli Li
Wei Yin
Yu Cao
GNN
20
11
0
28 Mar 2023
Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot
  Learning
Progressive Semantic-Visual Mutual Adaption for Generalized Zero-Shot Learning
Man Liu
Feng Li
Chunjie Zhang
Yunchao Wei
H. Bai
Yao-Min Zhao
47
39
0
27 Mar 2023
Edge Ranking of Graphs in Transportation Networks using a Graph Neural
  Network (GNN)
Edge Ranking of Graphs in Transportation Networks using a Graph Neural Network (GNN)
D. Jana
Sven Malama
S. Narasimhan
E. Taciroğlu
GNN
31
3
0
25 Mar 2023
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment
  using Adversarial Learning
No more Reviewer #2: Subverting Automatic Paper-Reviewer Assignment using Adversarial Learning
Thorsten Eisenhofer
Erwin Quiring
Jonas Moller
Doreen Riepel
Thorsten Holz
Konrad Rieck
AAML
31
6
0
25 Mar 2023
Neuro-Symbolic Execution of Generic Source Code
Neuro-Symbolic Execution of Generic Source Code
Yaojie Hu
Jin Tian
NAI
37
0
0
23 Mar 2023
Return of the RNN: Residual Recurrent Networks for Invertible Sentence
  Embeddings
Return of the RNN: Residual Recurrent Networks for Invertible Sentence Embeddings
Jeremy Wilkerson
27
1
0
23 Mar 2023
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for
  Weakly-Supervised Object Detection
VEIL: Vetting Extracted Image Labels from In-the-Wild Captions for Weakly-Supervised Object Detection
Arushi Rai
Adriana Kovashka
29
0
0
16 Mar 2023
Learning for Amalgamation: A Multi-Source Transfer Learning Framework
  For Sentiment Classification
Learning for Amalgamation: A Multi-Source Transfer Learning Framework For Sentiment Classification
Cuong V. Nguyen
Khiem H. Le
Anh Tran
Quang Pham
Binh T. Nguyen
15
14
0
16 Mar 2023
SA-CNN: Application to text categorization issues using simulated
  annealing-based convolutional neural network optimization
SA-CNN: Application to text categorization issues using simulated annealing-based convolutional neural network optimization
Zihao Guo
Yu Cao
22
2
0
13 Mar 2023
Rediscovering Hashed Random Projections for Efficient Quantization of
  Contextualized Sentence Embeddings
Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings
Ulf A. Hamster
Ji-Ung Lee
Alexander Geyken
Iryna Gurevych
41
0
0
13 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of
  Generative AI from GAN to ChatGPT
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT
Yihan Cao
Siyu Li
Yixin Liu
Zhiling Yan
Yutong Dai
Philip S. Yu
Lichao Sun
38
509
0
07 Mar 2023
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on
  Tasks and Challenges
The Contribution of Knowledge in Visiolinguistic Learning: A Survey on Tasks and Challenges
Maria Lymperaiou
Giorgos Stamou
VLM
37
4
0
04 Mar 2023
Open-Vocabulary Affordance Detection in 3D Point Clouds
Open-Vocabulary Affordance Detection in 3D Point Clouds
Toan Ngyen
Minh Nhat Vu
Annalies Vuong
Dzung Nguyen
T. Vo
Ngan Le
A. Nguyen
3DPC
29
32
0
04 Mar 2023
On the Provable Advantage of Unsupervised Pretraining
On the Provable Advantage of Unsupervised Pretraining
Jiawei Ge
Shange Tang
Jianqing Fan
Chi Jin
SSL
35
16
0
02 Mar 2023
Self-training through Classifier Disagreement for Cross-Domain Opinion
  Target Extraction
Self-training through Classifier Disagreement for Cross-Domain Opinion Target Extraction
Kai Sun
Richong Zhang
Samuel Mensah
Nikolaos Aletras
Yongyi Mao
Xudong Liu
29
1
0
28 Feb 2023
Keyword Decisions in Sponsored Search Advertising: A Literature Review
  and Research Agenda
Keyword Decisions in Sponsored Search Advertising: A Literature Review and Research Agenda
Yanwu Yang
Huiran Li
32
12
0
24 Feb 2023
Learning Visual Representations via Language-Guided Sampling
Learning Visual Representations via Language-Guided Sampling
Mohamed El Banani
Karan Desai
Justin Johnson
SSL
VLM
31
28
0
23 Feb 2023
A Scalable Space-efficient In-database Interpretability Framework for
  Embedding-based Semantic SQL Queries
A Scalable Space-efficient In-database Interpretability Framework for Embedding-based Semantic SQL Queries
P. Kudva
R. Bordawekar
Apoorva Nitsure
27
0
0
23 Feb 2023
Neural networks for learning personality traits from natural language
Neural networks for learning personality traits from natural language
Giorgia Adorni
GNN
22
0
0
23 Feb 2023
Modular Deep Learning
Modular Deep Learning
Jonas Pfeiffer
Sebastian Ruder
Ivan Vulić
Edoardo Ponti
MoMe
OOD
34
73
0
22 Feb 2023
DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on
  Non-gaussian Space
DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space
Songlin Zhai
Weiqing Wang
Yuanfa Li
Yuan Meng
34
4
0
22 Feb 2023
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling
  and AI-Generated Arts
TherapyView: Visualizing Therapy Sessions with Temporal Topic Modeling and AI-Generated Arts
Baihan Lin
Stefan Zecevic
Djallel Bouneffouf
Guillermo Cecchi
DiffM
24
5
0
21 Feb 2023
Mental Health Coping Stories on Social Media: A Causal-Inference Study
  of Papageno Effect
Mental Health Coping Stories on Social Media: A Causal-Inference Study of Papageno Effect
Yun-Peng Yuan
Koustuv Saha
Barbara Keller
E. Isometsä
Talayeh Aledavood
27
17
0
20 Feb 2023
Can discrete information extraction prompts generalize across language
  models?
Can discrete information extraction prompts generalize across language models?
Nathanaël Carraz Rakotonirina
Roberto Dessì
Fabio Petroni
Sebastian Riedel
Marco Baroni
31
7
0
20 Feb 2023
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