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1003.1141
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From Frequency to Meaning: Vector Space Models of Semantics
4 March 2010
Peter D. Turney
Patrick Pantel
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Papers citing
"From Frequency to Meaning: Vector Space Models of Semantics"
50 / 354 papers shown
Title
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Reasoning-Driven Question-Answering for Natural Language Understanding
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Distributional Analysis of Polysemous Function Words
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On the Semantic Interpretability of Artificial Intelligence Models
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Semantic Change and Semantic Stability: Variation is Key
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13 Jun 2019
Antonym-Synonym Classification Based on New Sub-space Embeddings
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Yifang Sun
Xiaoling Zhou
Wei Wang
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13 Jun 2019
Representation Learning for Words and Entities
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Learning Word Embeddings with Domain Awareness
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Yan Song
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A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains
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Second-order Co-occurrence Sensitivity of Skip-Gram with Negative Sampling
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Cennet Oguz
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Relational Word Embeddings
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Luis Espinosa-Anke
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A computational linguistic study of personal recovery in bipolar disorder
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An Empirical Study on Post-processing Methods for Word Embeddings
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Enhancing Domain Word Embedding via Latent Semantic Imputation
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Keli Xiao
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Don't Blame Distributional Semantics if it can't do Entailment
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Gemma Boleda
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Distributional Semantics and Linguistic Theory
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Word Similarity Datasets for Thai: Construction and Evaluation
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Identification, Interpretability, and Bayesian Word Embeddings
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Effectiveness of Data-Driven Induction of Semantic Spaces and Traditional Classifiers for Sarcasm Detection
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Interoperability and machine-to-machine translation model with mappings to machine learning tasks
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Question Embeddings Based on Shannon Entropy: Solving intent classification task in goal-oriented dialogue system
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Distributed Vector Representations of Folksong Motifs
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Francisco Gómez-Martín
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Sentiment Analysis on IMDB Movie Comments and Twitter Data by Machine Learning and Vector Space Techniques
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Relation Extraction Datasets in the Digital Humanities Domain and their Evaluation with Word Embeddings
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Investigating the Effect of Segmentation Methods on Neural Model based Sentiment Analysis on Informal Short Texts in Turkish
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Contextual Word Representations: A Contextual Introduction
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15 Feb 2019
Real-Time Steganalysis for Stream Media Based on Multi-channel Convolutional Sliding Windows
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Hao Yang
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Yongfeng Huang
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Learning Taxonomies of Concepts and not Words using Contextualized Word Representations: A Position Paper
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31 Jan 2019
Analogies Explained: Towards Understanding Word Embeddings
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28 Jan 2019
Word Embeddings: A Survey
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Geraldo Xexéo
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25 Jan 2019
On Event Causality Detection in Tweets
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Md. Saiful Islam
Junhu Wang
11
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11 Jan 2019
Vector representations of text data in deep learning
Karol Grzegorczyk
19
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On the Dimensionality of Word Embedding
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From Context to Concept: Exploring Semantic Relationships in Music with Word2Vec
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Bilingual Dictionary Induction for Bantu Languages
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Survey of Computational Approaches to Lexical Semantic Change
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Adam Jatowt
23
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Classical Copying versus Quantum Entanglement in Natural Language: The Case of VP-ellipsis
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Measuring Issue Ownership using Word Embeddings
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Improving Sentence Representations with Consensus Maximisation
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V. D. Sa
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Opacity, Obscurity, and the Geometry of Question-Asking
Christina Boyce-Jacino
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Neural Latent Relational Analysis to Capture Lexical Semantic Relations in a Vector Space
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13
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A case for deep learning in semantics
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Feature Learning for Meta-Paths in Knowledge Graphs
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Features of word similarity
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Watset: Local-Global Graph Clustering with Applications in Sense and Frame Induction
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Alexander Panchenko
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