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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 / 354 papers shown
Title
Fusing Vector Space Models for Domain-Specific Applications
Fusing Vector Space Models for Domain-Specific Applications
Laura Rettig
Julien Audiffren
Philippe Cudré-Mauroux
20
9
0
05 Sep 2019
Identifying and Explaining Discriminative Attributes
Identifying and Explaining Discriminative Attributes
Armins Stepanjans
André Freitas
17
2
0
05 Sep 2019
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by
  Exploiting Context Granularity
Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity
Yu Shi
Jiaming Shen
Yuchen Li
Naijing Zhang
Xinwei He
Zhengzhi Lou
Qi Zhu
Matthew Walker
Myunghwan Kim
Jiawei Han
18
19
0
04 Sep 2019
A framework for anomaly detection using language modeling, and its
  applications to finance
A framework for anomaly detection using language modeling, and its applications to finance
Armineh Nourbakhsh
G. Bang
21
14
0
24 Aug 2019
Compositionality decomposed: how do neural networks generalise?
Compositionality decomposed: how do neural networks generalise?
Dieuwke Hupkes
Verna Dankers
Mathijs Mul
Elia Bruni
CoGe
28
321
0
22 Aug 2019
Reasoning-Driven Question-Answering for Natural Language Understanding
Reasoning-Driven Question-Answering for Natural Language Understanding
Daniel Khashabi
LRM
28
11
0
14 Aug 2019
Distributional Analysis of Polysemous Function Words
Distributional Analysis of Polysemous Function Words
Sebastian Padó
Daniel Hole
11
0
0
24 Jul 2019
UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical
  Natural Language Inference
UW-BHI at MEDIQA 2019: An Analysis of Representation Methods for Medical Natural Language Inference
William R. Kearns
Wilson Lau
Jason Thomas
11
3
0
09 Jul 2019
On the Semantic Interpretability of Artificial Intelligence Models
On the Semantic Interpretability of Artificial Intelligence Models
V. S. Silva
André Freitas
Siegfried Handschuh
AI4CE
17
8
0
09 Jul 2019
Semantic Change and Semantic Stability: Variation is Key
Semantic Change and Semantic Stability: Variation is Key
Claire Bowern
13
8
0
13 Jun 2019
Antonym-Synonym Classification Based on New Sub-space Embeddings
Antonym-Synonym Classification Based on New Sub-space Embeddings
Muhammad Asif Ali
Yifang Sun
Xiaoling Zhou
Wei Wang
Xiang Zhao
11
23
0
13 Jun 2019
Representation Learning for Words and Entities
Representation Learning for Words and Entities
Pushpendre Rastogi
SSL
31
0
0
12 Jun 2019
Learning Word Embeddings with Domain Awareness
Learning Word Embeddings with Domain Awareness
Guoyin Wang
Yan Song
Yue Zhang
Dong Yu
12
3
0
07 Jun 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
Second-order Co-occurrence Sensitivity of Skip-Gram with Negative
  Sampling
Second-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling
Dominik Schlechtweg
Cennet Oguz
Sabine Schulte im Walde
21
11
0
06 Jun 2019
Relational Word Embeddings
Relational Word Embeddings
Jose Camacho-Collados
Luis Espinosa-Anke
Steven Schockaert
NAI
25
17
0
04 Jun 2019
A computational linguistic study of personal recovery in bipolar
  disorder
A computational linguistic study of personal recovery in bipolar disorder
Glorianna Jagfeld
8
1
0
03 Jun 2019
An Empirical Study on Post-processing Methods for Word Embeddings
An Empirical Study on Post-processing Methods for Word Embeddings
Shuai Tang
Mahta Mousavi
V. D. Sa
12
6
0
27 May 2019
Enhancing Domain Word Embedding via Latent Semantic Imputation
Enhancing Domain Word Embedding via Latent Semantic Imputation
S. Yao
Dantong Yu
Keli Xiao
22
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
17
20
0
17 May 2019
Distributional Semantics and Linguistic Theory
Distributional Semantics and Linguistic Theory
Gemma Boleda
13
196
0
06 May 2019
Word Similarity Datasets for Thai: Construction and Evaluation
Word Similarity Datasets for Thai: Construction and Evaluation
P. Netisopakul
G. Wohlgenannt
Aleksei Pulich
17
12
0
08 Apr 2019
Identification, Interpretability, and Bayesian Word Embeddings
Identification, Interpretability, and Bayesian Word Embeddings
Adam M. Lauretig
BDL
12
11
0
02 Apr 2019
Effectiveness of Data-Driven Induction of Semantic Spaces and
  Traditional Classifiers for Sarcasm Detection
Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection
Mattia Antonino Di Gangi
Giosuè Lo Bosco
G. Pilato
17
19
0
02 Apr 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
21
5
0
25 Mar 2019
Distributed Vector Representations of Folksong Motifs
Distributed Vector Representations of Folksong Motifs
Aitor Arronte Alvarez
Francisco Gómez-Martín
13
5
0
20 Mar 2019
Sentiment Analysis on IMDB Movie Comments and Twitter Data by Machine
  Learning and Vector Space Techniques
Sentiment Analysis on IMDB Movie Comments and Twitter Data by Machine Learning and Vector Space Techniques
I. Tarimer
Adil Çoban
Arif Emre Kocaman
13
7
0
18 Mar 2019
Relation Extraction Datasets in the Digital Humanities Domain and their
  Evaluation with Word Embeddings
Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings
G. Wohlgenannt
Ekaterina Chernyak
Dmitry Ilvovsky
A. Barinova
D. Mouromtsev
13
4
0
04 Mar 2019
Investigating the Effect of Segmentation Methods on Neural Model based
  Sentiment Analysis on Informal Short Texts in Turkish
Investigating the Effect of Segmentation Methods on Neural Model based Sentiment Analysis on Informal Short Texts in Turkish
Fatih Kurt
Kezban Dilek Kisa
Pinar Senkul
17
3
0
18 Feb 2019
Contextual Word Representations: A Contextual Introduction
Contextual Word Representations: A Contextual Introduction
Noah A. Smith
27
34
0
15 Feb 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
26
17
0
04 Feb 2019
Learning Taxonomies of Concepts and not Words using Contextualized Word
  Representations: A Position Paper
Learning Taxonomies of Concepts and not Words using Contextualized Word Representations: A Position Paper
Lukas Schmelzeisen
Steffen Staab
22
3
0
31 Jan 2019
Analogies Explained: Towards Understanding Word Embeddings
Analogies Explained: Towards Understanding Word Embeddings
Carl Allen
Timothy M. Hospedales
24
142
0
28 Jan 2019
Word Embeddings: A Survey
Word Embeddings: A Survey
Felipe Almeida
Geraldo Xexéo
24
198
0
25 Jan 2019
On Event Causality Detection in Tweets
On Event Causality Detection in Tweets
Humayun Kayesh
Md. Saiful Islam
Junhu Wang
11
17
0
11 Jan 2019
Vector representations of text data in deep learning
Vector representations of text data in deep learning
Karol Grzegorczyk
19
12
0
07 Jan 2019
On the Dimensionality of Word Embedding
On the Dimensionality of Word Embedding
Zi Yin
Yuanyuan Shen
18
189
0
11 Dec 2018
From Context to Concept: Exploring Semantic Relationships in Music with
  Word2Vec
From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec
C. Chuan
Kat R. Agres
Dorien Herremans
11
45
0
29 Nov 2018
Bilingual Dictionary Induction for Bantu Languages
Bilingual Dictionary Induction for Bantu Languages
Ndapandula Nakashole
13
0
0
17 Nov 2018
Survey of Computational Approaches to Lexical Semantic Change
Survey of Computational Approaches to Lexical Semantic Change
Nina Tahmasebi
L. Borin
Adam Jatowt
23
163
0
15 Nov 2018
Classical Copying versus Quantum Entanglement in Natural Language: The
  Case of VP-ellipsis
Classical Copying versus Quantum Entanglement in Natural Language: The Case of VP-ellipsis
B. Coecke
M. Sadrzadeh
14
9
0
08 Nov 2018
Measuring Issue Ownership using Word Embeddings
Measuring Issue Ownership using Word Embeddings
Amaru Cuba Gyllensten
Magnus Sahlgren
11
0
0
31 Oct 2018
Improving Sentence Representations with Consensus Maximisation
Improving Sentence Representations with Consensus Maximisation
Shuai Tang
V. D. Sa
SSL
AI4TS
29
4
0
02 Oct 2018
Opacity, Obscurity, and the Geometry of Question-Asking
Opacity, Obscurity, and the Geometry of Question-Asking
Christina Boyce-Jacino
Simon DeDeo
6
6
0
21 Sep 2018
Neural Latent Relational Analysis to Capture Lexical Semantic Relations
  in a Vector Space
Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space
Koki Washio
Tsuneaki Kato
13
23
0
10 Sep 2018
A case for deep learning in semantics
A case for deep learning in semantics
Christopher Potts
25
4
0
10 Sep 2018
Feature Learning for Meta-Paths in Knowledge Graphs
Feature Learning for Meta-Paths in Knowledge Graphs
Sebastian Bischoff
20
0
0
07 Sep 2018
Features of word similarity
Features of word similarity
A. Jacobs
A. Kinder
11
7
0
24 Aug 2018
Watset: Local-Global Graph Clustering with Applications in Sense and
  Frame Induction
Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction
Dmitry Ustalov
Alexander Panchenko
Chris Biemann
Simone Paolo Ponzetto
17
14
0
20 Aug 2018
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