SOTAVerified

Word Similarity

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 151–200 of 378 papers

TitleStatusHype
LMU Bilingual Dictionary Induction System with Word Surface Similarity Scores for BUCC 2020—0
Mahtab at SemEval-2017 Task 2: Combination of Corpus-based and Knowledge-based Methods to Measure Semantic Word Similarity—0
Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information—0
Marine Saliency Segmenter: Object-Focused Conditional Diffusion with Region-Level Semantic Knowledge Distillation—0
Medical Concept Embeddings via Labeled Background Corpora—0
Meemi: A Simple Method for Post-processing and Integrating Cross-lingual Word Embeddings—0
Memory, Show the Way: Memory Based Few Shot Word Representation Learning—0
MIXCD: System Description for Evaluating Chinese Word Similarity at SemEval-2012—0
Modeling Sentences in the Latent Space—0
Modeling Word Meaning in Context with Substitute Vectors—0
Modifications of Machine Translation Evaluation Metrics by Using Word Embeddings—0
Morphological Priors for Probabilistic Neural Word Embeddings—0
Morphological Word Embeddings for Arabic Neural Machine Translation in Low-Resource Settings—0
Multi-Fusion Chinese WordNet (MCW) : Compound of Machine Learning and Manual Correction—0
MultiGBS: A multi-layer graph approach to biomedical summarization—0
Multimodal Skip-gram Using Convolutional Pseudowords—0
Multi Sense Embeddings from Topic Models—0
Multi-Stage Framework with Refinement based Point Set Registration for Unsupervised Bi-Lingual Word Alignment—0
Multi-Stage Framework with Refinement Based Point Set Registration for Unsupervised Bi-Lingual Word Alignment—0
Multi-view Recurrent Neural Acoustic Word Embeddings—0
NASARI: a Novel Approach to a Semantically-Aware Representation of Items—0
Neural Embeddings of Graphs in Hyperbolic Space—0
Neural Word Embedding as Implicit Matrix Factorization—0
Normalized Word Embedding and Orthogonal Transform for Bilingual Word Translation—0
On Learning Word Embeddings From Linguistically Augmented Text Corpora—0
Ontologically Grounded Multi-sense Representation Learning for Semantic Vector Space Models—0
Part-of-Speech Relevance Weights for Learning Word Embeddings—0
PHACTS about activation-based word similarity effects—0
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering—0
Predicting the Target Word of Game-playing Conversations using a Low-Rank Dialect Adapter for Decoder Models—0
Predicting Word Similarity in Context with Referential Translation Machines—0
Principal Word Vectors—0
Pruning Basic Elements for Better Automatic Evaluation of Summaries—0
PSDVec: a Toolbox for Incremental and Scalable Word Embedding—0
QEQR: An Exploration of Query Expansion Methods for Question Retrieval in CQA Services—0
QLUT at SemEval-2017 Task 2: Word Similarity Based on Word Embedding and Knowledge Base—0
Quantifying Context Overlap for Training Word Embeddings—0
Quantitative dynamics of design thinking and creativity perspectives in company context—0
Querying Word Embeddings for Similarity and Relatedness—0
Random Walks and Neural Network Language Models on Knowledge Bases—0
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
Real Multi-Sense or Pseudo Multi-Sense: An Approach to Improve Word Representation—0
Reconstruction of Word Embeddings from Sub-Word Parameters—0
Recursive Binding for Similarity-Preserving Hypervector Representations of Sequences—0
Rehabilitation of Count-based Models for Word Vector Representations—0
Relation extraction pattern ranking using word similarity—0
Reranking Translation Candidates Produced by Several Bilingual Word Similarity Sources—0
Robust Backed-off Estimation of Out-of-Vocabulary Embeddings—0
RUFINO at SemEval-2017 Task 2: Cross-lingual lexical similarity by extending PMI and word embeddings systems with a Swadesh's-like list—0
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Benchmark Results

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