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Word Similarity

Calculate a numerical score for the semantic similarity between two words.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 301–350 of 378 papers

TitleStatusHype
Identity-sensitive Word Embedding through Heterogeneous Networks—0
Multi-view Recurrent Neural Acoustic Word Embeddings—0
Improving Reliability of Word Similarity Evaluation by Redesigning Annotation Task and Performance MeasureCode0
Dealing with Out-Of-Vocabulary Problem in Sentence Alignment Using Word SimilarityCode0
Improving Sparse Word Representations with Distributional Inference for Semantic CompositionCode0
Learning Word Embeddings from Intrinsic and Extrinsic Views—0
Automatic Selection of Context Configurations for Improved Class-Specific Word Representations—0
Community Detection in Political Twitter Networks using Nonnegative Matrix Factorization Methods—0
Morphological Priors for Probabilistic Neural Word Embeddings—0
A critique of word similarity as a method for evaluating distributional semantic models—0
When Hyperparameters Help: Beneficial Parameter Combinations in Distributional Semantic Models—0
Enriching Word Vectors with Subword InformationCode0
Charagram: Embedding Words and Sentences via Character n-grams—0
Learning Crosslingual Word Embeddings without Bilingual CorporaCode0
Correlation-based Intrinsic Evaluation of Word Vector Representations—0
Learning Word Sense Embeddings from Word Sense Definitions—0
PSDVec: a Toolbox for Incremental and Scalable Word Embedding—0
Enhancing the LexVec Distributed Word Representation Model Using Positional Contexts and External MemoryCode0
Matrix Factorization using Window Sampling and Negative Sampling for Improved Word RepresentationsCode0
Integrating Distributional Lexical Contrast into Word Embeddings for Antonym-Synonym Distinction—0
Problems With Evaluation of Word Embeddings Using Word Similarity TasksCode0
EVALution-MAN: A Chinese Dataset for the Training and Evaluation of DSMs—0
Medical Concept Embeddings via Labeled Background Corpora—0
An Ensemble Method to Produce High-Quality Word Embeddings (2016)Code2
Unsupervised Measure of Word Similarity: How to Outperform Co-occurrence and Vector Cosine in VSMs—0
What a Nerd! Beating Students and Vector Cosine in the ESL and TOEFL Datasets—0
Part-of-Speech Relevance Weights for Learning Word Embeddings—0
Embracing Error to Enable Rapid Crowdsourcing—0
Semantic Word Clusters Using Signed Normalized Graph CutsCode0
Category Enhanced Word Embedding—0
Multimodal Skip-gram Using Convolutional Pseudowords—0
Learning Visual Features from Large Weakly Supervised Data—0
Component-Enhanced Chinese Character Embeddings—0
Learning Meta-Embeddings by Using Ensembles of Embedding SetsCode0
AutoExtend: Extending Word Embeddings to Embeddings for Synsets and Lexemes—0
Symmetric Pattern Based Word Embeddings for Improved Word Similarity Prediction—0
A Framework for the Construction of Monolingual and Cross-lingual Word Similarity Datasets—0
WordRank: Learning Word Embeddings via Robust RankingCode0
Do Multi-Sense Embeddings Improve Natural Language Understanding?—0
Relation extraction pattern ranking using word similarity—0
Unsupervised Morphology Induction Using Word Embeddings—0
Random Walks and Neural Network Language Models on Knowledge Bases—0
NASARI: a Novel Approach to a Semantically-Aware Representation of Items—0
Automatic cognate identification with gap-weighted string subsequences.—0
Deep Multilingual Correlation for Improved Word Embeddings—0
Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models—0
Normalized Word Embedding and Orthogonal Transform for Bilingual Word Translation—0
Do Supervised Distributional Methods Really Learn Lexical Inference Relations?—0
Modeling Word Meaning in Context with Substitute Vectors—0
A Comparison of Word Similarity Performance Using Explanatory and Non-explanatory Texts—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Context-to-VectorSpearman's Rho78.9—Unverified
2Bert2VecSpearman's Rho72.8—Unverified
3SkipGramSpearman's Rho61—Unverified