Analyzing how context size and symmetry influence word embedding information (original) (raw)

Querying Word Embeddings for Similarity and Relatedness

Fatemeh Torabi Asr

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), 2018

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COMPARATIVE ANALYSIS OF WORD EMBEDDINGS FOR CAPTURING WORD SIMILARITIES

Computer Science & Information Technology (CS & IT) Computer Science Conference Proceedings (CSCP)

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Word Embedding Evaluation in Downstream Tasks and Semantic Analogies

Bernardo Consoli

2020

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Redefining Context Windows for Word Embedding Models: An Experimental Study

Andrey Kutuzov

Proceedings of the 21st Nordic Conference on Computational Linguistics (NoDaLiDa)

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Lexical semantics enhanced neural word embeddings

Dongqiang Yang

Knowledge-Based Systems

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How to evaluate word embeddings? On importance of data efficiency and simple supervised tasks

Stanislaw Jastrzebski

2017

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Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Word Embeddings and the Implications to Representation Learning

Sadhana Kumaravel

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2021

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(Presentation) Fitting Semantic Relations to Word Embeddings

Eric Kafe

Proceedings of the 10th Global Wordnet Conference, 2019

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Word associations and the distance properties of context-aware word embeddings

Paola Merlo

Proceedings of the 24th Conference on Computational Natural Language Learning, 2020

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Characterizing the impact of geometric properties of word embeddings on task performance

Denis Newman-Griffis, Hakan Ferhatosmanoglu

Proceedings of the Third Workshop on Evaluating Vector Space Representations for NLP (RepEval), 2019

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Understanding the Source of Semantic Regularities in Word Embeddings

Zachary Pardos

Proceedings of the 24th Conference on Computational Natural Language Learning

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Combining Word Representations for Measuring Word Relatedness and Similarity

Dipesh Gautam

2015

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GloVe: Global Vectors for Word Representation

Delia Ioana

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When Hyperparameters Help: Beneficial Parameter Combinations in Distributional Semantic Models

Denis Paperno

Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics

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Short-text Semantic Similarity using GloVe word embedding

IRJET Journal

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A Survey On Neural Word Embeddings

Selma Tekir

ArXiv, 2021

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Improving Word Representations via Global Context and Multiple Word Prototypes

Christopher D Manning

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WOVe: Incorporating Word Order in GloVe Word Embeddings

Susan Gauch

2021

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Integrating Semantic Knowledge into Lexical Embeddings Based on Information Content Measurement

Wei-Yun Ma

Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers, 2017

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Word Sense Distance in Human Similarity Judgements and Contextualised Word Embeddings

Janosch Haber

2020

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SemEval-2020 Task 3: Graded Word Similarity in Context

Senja Pollak

Proceedings of the Fourteenth Workshop on Semantic Evaluation

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Simlex-999: Evaluating semantic models with (genuine) similarity estimation

Anna Korhonen

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Wan2vec: Embeddings learned on word association norms

Gerardo Sierra

Semantic Web

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A reproducible survey on word embeddings and ontology-based methods for word similarity: Linear combinations outperform the state of the art

Mohamed Ali Hadj Taieb

Engineering Applications of Artificial Intelligence

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Enriching Word Embeddings with Global Information and Testing on Highly Inflected Language

Lukáš Svoboda

Computación y Sistemas, 2019

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Embedding Semantic Relations into Word Representations

Ken-ichi Kawarabayashi

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Towards Useful Word Embeddings

Petr Sojka

RASLAN, 2020

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Semantic Similarity Estimation Using Vector Symbolic Architectures

Marco Antonio Ramírez Salinas

IEEE Access

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Size Matters: The Impact of Training Size in Taxonomically-Enriched Word Embeddings

John Kelleher

Open Computer Science

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Intrinsic analysis for dual word embedding space models

Mohit Mayank

2020

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Evaluating Word Embeddings with Categorical Modularity

Silvia Casacuberta

2021

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Improving Word Embeddings Using Kernel PCA

Vishwani Gupta

Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)

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Embedding Word Similarity with Neural Machine Translation

Yoshua Bengio

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Better Word Embeddings by Disentangling Contextual n-Gram Information

Prakhar Gupta

Proceedings of the 2019 Conference of the North, 2019

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A critique of word similarity as a method for evaluating distributional semantic models

Julie Weeds

Proceedings of the 1st Workshop on Evaluating Vector-Space Representations for NLP

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