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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 101–150 of 378 papers

TitleStatusHype
Word Embeddings for Entity-annotated TextsCode0
Word Embeddings via Causal Inference: Gender Bias Reducing and Semantic Information PreservingCode0
Making Fast Graph-based Algorithms with Graph Metric EmbeddingsCode0
Improving Sparse Word Representations with Distributional Inference for Semantic CompositionCode0
Improving Heterogeneous Graph Learning with Weighted Mixed-Curvature Product ManifoldCode0
Incorporating Latent Meanings of Morphological Compositions to Enhance Word EmbeddingsCode0
Metrology for AI: From Benchmarks to InstrumentsCode0
Improved Biomedical Word Embeddings in the Transformer EraCode0
AnlamVer: Semantic Model Evaluation Dataset for Turkish - Word Similarity and RelatednessCode0
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasksCode0
Improved Word Representation Learning with SememesCode0
Integrating Semantic Knowledge into Lexical Embeddings Based on Information Content MeasurementCode0
FRAGE: Frequency-Agnostic Word RepresentationCode0
Matrix Factorization using Window Sampling and Negative Sampling for Improved Word RepresentationsCode0
VAST: The Valence-Assessing Semantics Test for Contextualizing Language ModelsCode0
Enhancing the LexVec Distributed Word Representation Model Using Positional Contexts and External MemoryCode0
Enhancing Word Embeddings with Knowledge Extracted from Lexical ResourcesCode0
Can Eye Movement Data Be Used As Ground Truth For Word Embeddings Evaluation?—0
Evaluation of word embeddings against cognitive processes: primed reaction times in lexical decision and naming tasks—0
Angular-Based Word Meta-Embedding Learning—0
Evaluation of taxonomic and neural embedding methods for calculating semantic similarity—0
Evaluation of Morphological Embeddings for English and Russian Languages—0
Evaluating Ways of Adapting Word Similarity—0
EVALution-MAN: A Chinese Dataset for the Training and Evaluation of DSMs—0
Aff2Vec: Affect--Enriched Distributional Word Representations—0
Expansional Retrofitting for Word Vector Enrichment—0
Embracing Error to Enable Rapid Crowdsourcing—0
Bridging Natural Language Processing and Psycholinguistics: computationally grounded semantic similarity datasets for Basque and Spanish—0
Embedding Word Similarity with Neural Machine Translation—0
Bio-inspired Structure Identification in Language Embeddings—0
Embeddings models for Buddhist Sanskrit—0
Embedding Learning Through Multilingual Concept Induction—0
Bilingual Embeddings with Random Walks over Multilingual Wordnets—0
Anchor-based Bilingual Word Embeddings for Low-Resource Languages—0
Adversarial Training of Word2Vec for Basket Completion—0
A Computational Study on Word Meanings and Their Distributed Representations via Polymodal Embedding—0
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space—0
Effect of Post-processing on Contextualized Word Representations—0
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses—0
Balancing the composition of word embeddings across heterogenous data sets—0
An Artificial Language Evaluation of Distributional Semantic Models—0
DRCoVe: An Augmented Word Representation Approach using Distributional and Relational Context—0
Do We Need Neural Models to Explain Human Judgments of Acceptability?—0
Back to Basics for Monolingual Alignment: Exploiting Word Similarity and Contextual Evidence—0
Do Supervised Distributional Methods Really Learn Lexical Inference Relations?—0
Do Multi-Sense Embeddings Improve Natural Language Understanding?—0
BabelEnconding at SemEval-2020 Task 3: Contextual Similarity as a Combination of Multilingualism and Language Models—0
An Approach of Hybrid Hierarchical Structure for Word Similarity Computing by HowNet—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
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Benchmark Results

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