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From Frequency to Meaning: Vector Space Models of Semantics

From Frequency to Meaning: Vector Space Models of Semantics

4 March 2010
Peter D. Turney
Patrick Pantel
ArXivPDFHTML

Papers citing "From Frequency to Meaning: Vector Space Models of Semantics"

50 / 96 papers shown
Title
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
ARISE: Iterative Rule Induction and Synthetic Data Generation for Text Classification
Y. Meena
Vaibhav Singh
Ayush Maheshwari
Amrith Krishna
Ganesh Ramakrishnan
AI4TS
100
0
0
09 Feb 2025
Interactive Example-based Explanations to Improve Health Professionals'
  Onboarding with AI for Human-AI Collaborative Decision Making
Interactive Example-based Explanations to Improve Health Professionals' Onboarding with AI for Human-AI Collaborative Decision Making
Min Hun Lee
Renee Bao Xuan Ng
Silvana Xin Yi Choo
S. Thilarajah
26
0
0
24 Sep 2024
Graph Convolutional Network For Semi-supervised Node Classification With
  Subgraph Sketching
Graph Convolutional Network For Semi-supervised Node Classification With Subgraph Sketching
Zibin Huang
Jun Xian
GNN
42
0
0
19 Apr 2024
Backpack Language Models
Backpack Language Models
John Hewitt
John Thickstun
Christopher D. Manning
Percy Liang
KELM
13
16
0
26 May 2023
Improving Temporal Generalization of Pre-trained Language Models with
  Lexical Semantic Change
Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change
Zhao-yu Su
Zecheng Tang
Xinyan Guan
Juntao Li
Lijun Wu
M. Zhang
CLL
AI4CE
32
22
0
31 Oct 2022
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block
  Model
Consensus Knowledge Graph Learning via Multi-view Sparse Low Rank Block Model
Tianxi Cai
Dong Xia
Luwan Zhang
D. Zhou
23
1
0
28 Sep 2022
A Comparison of Approaches for Imbalanced Classification Problems in the
  Context of Retrieving Relevant Documents for an Analysis
A Comparison of Approaches for Imbalanced Classification Problems in the Context of Retrieving Relevant Documents for an Analysis
Sandra Wankmüller
28
2
0
03 May 2022
Diachronic Text Mining Investigation of Therapeutic Candidates for
  COVID-19
Diachronic Text Mining Investigation of Therapeutic Candidates for COVID-19
James Powell
Kari Sentz
16
0
0
26 Oct 2021
A Survey On Neural Word Embeddings
A Survey On Neural Word Embeddings
Erhan Sezerer
Selma Tekir
AI4TS
26
12
0
05 Oct 2021
An enriched category theory of language: from syntax to semantics
An enriched category theory of language: from syntax to semantics
T. Bradley
John Terilla
Yiannis Vlassopoulos
13
26
0
15 Jun 2021
Grover's Algorithm for Question Answering
Grover's Algorithm for Question Answering
Adriana D. Correia
M. Moortgat
H. Stoof
17
5
0
09 Jun 2021
Corpus-Based Paraphrase Detection Experiments and Review
Corpus-Based Paraphrase Detection Experiments and Review
T. Vrbanec
A. Meštrović
27
31
0
31 May 2021
A comparative evaluation and analysis of three generations of
  Distributional Semantic Models
A comparative evaluation and analysis of three generations of Distributional Semantic Models
Alessandro Lenci
Magnus Sahlgren
Patrick Jeuniaux
Amaru Cuba Gyllensten
Martina Miliani
24
50
0
20 May 2021
Abolitionist Networks: Modeling Language Change in Nineteenth-Century
  Activist Newspapers
Abolitionist Networks: Modeling Language Change in Nineteenth-Century Activist Newspapers
Sandeep Soni
Lauren F. Klein
Jacob Eisenstein
MILM
GNN
AI4CE
36
21
0
12 Mar 2021
Large Pre-trained Language Models Contain Human-like Biases of What is
  Right and Wrong to Do
Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Do
P. Schramowski
Cigdem Turan
Nico Andersen
Constantin Rothkopf
Kristian Kersting
30
281
0
08 Mar 2021
Multi-sense embeddings through a word sense disambiguation process
Multi-sense embeddings through a word sense disambiguation process
Terry Ruas
W. Grosky
Akiko Aizawa
11
40
0
21 Jan 2021
Graph Neural Networks: Taxonomy, Advances and Trends
Graph Neural Networks: Taxonomy, Advances and Trends
Yu Zhou
Haixia Zheng
Xin Huang
Shufeng Hao
Dengao Li
Jumin Zhao
AI4TS
25
115
0
16 Dec 2020
Automated Coding of Under-Studied Medical Concept Domains: Linking
  Physical Activity Reports to the International Classification of Functioning,
  Disability, and Health
Automated Coding of Under-Studied Medical Concept Domains: Linking Physical Activity Reports to the International Classification of Functioning, Disability, and Health
Denis R. Newman-Griffis
Eric Fosler-Lussier
24
18
0
27 Nov 2020
XTE: Explainable Text Entailment
XTE: Explainable Text Entailment
V. S. Silva
André Freitas
Siegfried Handschuh
22
6
0
25 Sep 2020
Cultural Cartography with Word Embeddings
Cultural Cartography with Word Embeddings
Dustin S. Stoltz
Marshall A. Taylor
23
38
0
09 Jul 2020
Informational Space of Meaning for Scientific Texts
Informational Space of Meaning for Scientific Texts
Neslihan Suzen
Evgeny M. Mirkes
A. Gorban
17
3
0
28 Apr 2020
Experience Grounds Language
Experience Grounds Language
Yonatan Bisk
Ari Holtzman
Jesse Thomason
Jacob Andreas
Yoshua Bengio
...
Angeliki Lazaridou
Jonathan May
Aleksandr Nisnevich
Nicolas Pinto
Joseph P. Turian
19
351
0
21 Apr 2020
An Analysis on the Learning Rules of the Skip-Gram Model
An Analysis on the Learning Rules of the Skip-Gram Model
Canlin Zhang
Xiuwen Liu
Daniel Bis
NAI
12
11
0
18 Mar 2020
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual
  Lexical Semantic Similarity
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity
Ivan Vulić
Simon Baker
E. Ponti
Ulla Petti
Ira Leviant
...
Eden Bar
Matt Malone
Thierry Poibeau
Roi Reichart
Anna Korhonen
16
82
0
10 Mar 2020
NeuroQuery: comprehensive meta-analysis of human brain mapping
NeuroQuery: comprehensive meta-analysis of human brain mapping
Jérôme Dockès
R. Poldrack
Romain Primet
Hande Gözükan
T. Yarkoni
Fabian M. Suchanek
B. Thirion
Gaël Varoquaux
11
121
0
21 Feb 2020
Multiplex Word Embeddings for Selectional Preference Acquisition
Multiplex Word Embeddings for Selectional Preference Acquisition
Hongming Zhang
Jiaxin Bai
Yan Song
Kun Xu
Changlong Yu
Yangqiu Song
Wilfred Ng
Dong Yu
16
17
0
09 Jan 2020
Deconstructing and reconstructing word embedding algorithms
Deconstructing and reconstructing word embedding algorithms
Edward Newell
Kian Kenyon-Dean
Jackie C.K. Cheung
36
4
0
29 Nov 2019
Follow the Leader: Documents on the Leading Edge of Semantic Change Get
  More Citations
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations
Sandeep Soni
Kristina Lerman
Jacob Eisenstein
AI4TS
31
12
0
09 Sep 2019
A Wind of Change: Detecting and Evaluating Lexical Semantic Change
  across Times and Domains
A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains
Dominik Schlechtweg
Anna Hätty
Marco Del Tredici
Sabine Schulte im Walde
17
92
0
07 Jun 2019
Enhancing Domain Word Embedding via Latent Semantic Imputation
Enhancing Domain Word Embedding via Latent Semantic Imputation
S. Yao
Dantong Yu
Keli Xiao
14
11
0
21 May 2019
Don't Blame Distributional Semantics if it can't do Entailment
Don't Blame Distributional Semantics if it can't do Entailment
M. Westera
Gemma Boleda
CoGe
9
20
0
17 May 2019
Interoperability and machine-to-machine translation model with mappings
  to machine learning tasks
Interoperability and machine-to-machine translation model with mappings to machine learning tasks
Jacob Nilsson
Fredrik Sandin
J. Delsing
AI4CE
39
18
0
26 Mar 2019
Question Embeddings Based on Shannon Entropy: Solving intent
  classification task in goal-oriented dialogue system
Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue system
A. Perevalov
D. Kurushin
Rustam Faizrakhmanov
F. Khabibrakhmanova
16
5
0
25 Mar 2019
Real-Time Steganalysis for Stream Media Based on Multi-channel
  Convolutional Sliding Windows
Real-Time Steganalysis for Stream Media Based on Multi-channel Convolutional Sliding Windows
Zhongliang Yang
Hao Yang
Yuting Hu
Yongfeng Huang
Yujin Zhang
18
17
0
04 Feb 2019
Analogies Explained: Towards Understanding Word Embeddings
Analogies Explained: Towards Understanding Word Embeddings
Carl Allen
Timothy M. Hospedales
16
142
0
28 Jan 2019
Word Embeddings: A Survey
Word Embeddings: A Survey
Felipe Almeida
Geraldo Xexéo
19
197
0
25 Jan 2019
On the Dimensionality of Word Embedding
On the Dimensionality of Word Embedding
Zi Yin
Yuanyuan Shen
16
189
0
11 Dec 2018
A case for deep learning in semantics
A case for deep learning in semantics
Christopher Potts
17
4
0
10 Sep 2018
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
SeVeN: Augmenting Word Embeddings with Unsupervised Relation Vectors
Luis Espinosa-Anke
Steven Schockaert
DRL
30
19
0
18 Aug 2018
Tracking the Evolution of Words with Time-reflective Text
  Representations
Tracking the Evolution of Words with Time-reflective Text Representations
Roberto Camacho Barranco
R. Santos
M. S. Hossain
43
14
0
12 Jul 2018
Diachronic word embeddings and semantic shifts: a survey
Diachronic word embeddings and semantic shifts: a survey
Andrey Kutuzov
Lilja Øvrelid
Terrence Szymanski
Erik Velldal
AI4TS
11
300
0
09 Jun 2018
Characterizing Departures from Linearity in Word Translation
Characterizing Departures from Linearity in Word Translation
Ndapandula Nakashole
R. Flauger
13
36
0
07 Jun 2018
A Rank-Based Similarity Metric for Word Embeddings
A Rank-Based Similarity Metric for Word Embeddings
Enrico Santus
Hongmin Wang
Emmanuele Chersoni
Yue Zhang
18
19
0
04 May 2018
Dynamic Meta-Embeddings for Improved Sentence Representations
Dynamic Meta-Embeddings for Improved Sentence Representations
Douwe Kiela
Changhan Wang
Kyunghyun Cho
AI4TS
28
108
0
21 Apr 2018
Paraphrase-Supervised Models of Compositionality
Paraphrase-Supervised Models of Compositionality
Avneesh Singh Saluja
Chris Dyer
Jean-David Ruvini
CoGe
LRM
27
1
0
31 Jan 2018
A Survey of Word Embeddings Evaluation Methods
A Survey of Word Embeddings Evaluation Methods
Amir Bakarov
6
183
0
21 Jan 2018
Learning Multimodal Word Representation via Dynamic Fusion Methods
Learning Multimodal Word Representation via Dynamic Fusion Methods
Shaonan Wang
Jiajun Zhang
Chengqing Zong
19
32
0
02 Jan 2018
Improving Negative Sampling for Word Representation using Self-embedded
  Features
Improving Negative Sampling for Word Representation using Self-embedded Features
Long Chen
Fajie Yuan
J. Jose
Weinan Zhang
SSL
21
43
0
26 Oct 2017
Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words
Think Globally, Embed Locally --- Locally Linear Meta-embedding of Words
Danushka Bollegala
K. Hayashi
Ken-ichi Kawarabayashi
OffRL
25
40
0
19 Sep 2017
Learning Chinese Word Representations From Glyphs Of Characters
Learning Chinese Word Representations From Glyphs Of Characters
Tzu-Ray Su
Hung-yi Lee
19
86
0
16 Aug 2017
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