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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
Domain Mismatch Doesn't Always Prevent Cross-Lingual Transfer Learning—0
Domain Mismatch Doesn’t Always Prevent Cross-lingual Transfer Learning—0
Do Multi-Sense Embeddings Improve Natural Language Understanding?—0
Do Supervised Distributional Methods Really Learn Lexical Inference Relations?—0
Do We Need Neural Models to Explain Human Judgments of Acceptability?—0
DRCoVe: An Augmented Word Representation Approach using Distributional and Relational Context—0
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses—0
Effect of Post-processing on Contextualized Word Representations—0
CitiusNLP at SemEval-2020 Task 3: Comparing Two Approaches for Word Vector Contextualization—0
Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space—0
Embedding Learning Through Multilingual Concept Induction—0
Embeddings models for Buddhist Sanskrit—0
Embedding Word Similarity with Neural Machine Translation—0
A Proposal of Automatic Error Correction in Text—0
Illustrative Language Understanding: Large-Scale Visual Grounding with Image Search—0
Embracing Error to Enable Rapid Crowdsourcing—0
Bridging Natural Language Processing and Psycholinguistics: computationally grounded semantic similarity datasets for Basque and Spanish—0
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction—0
A folksonomy-based approach for profiling human perception on word similarity—0
Aff2Vec: Affect--Enriched Distributional Word Representations—0
Evaluation of Morphological Embeddings for English and Russian Languages—0
Evaluation of taxonomic and neural embedding methods for calculating semantic similarity—0
A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images—0
EVALution-MAN: A Chinese Dataset for the Training and Evaluation of DSMs—0
Can Eye Movement Data Be Used As Ground Truth For Word Embeddings Evaluation?—0
Expansional Retrofitting for Word Vector Enrichment—0
Identity-sensitive Word Embedding through Heterogeneous Networks—0
Implanting Rational Knowledge into Distributed Representation at Morpheme Level—0
Charagram: Embedding Words and Sentences via Character n-grams—0
Fine-tuning Distributional Semantic Models for Closely-Related Languages—0
An Unsupervised Approach for Mapping between Vector Spaces—0
Ferryman at SemEval-2020 Task 3: Bert with TFIDF-Weighting for Predicting the Effect of Context in Word Similarity—0
Features of word similarity—0
Category Enhanced Word Embedding—0
Chinese Embedding via Stroke and Glyph Information: A Dual-channel View—0
Gaussian Word Embedding with a Wasserstein Distance Loss—0
A New Anchor Word Selection Method for the Separable Topic Discovery—0
Circles are like Ellipses, or Ellipses are like Circles? Measuring the Degree of Asymmetry of Static and Contextual Embeddings and the Implications to Representation Learning—0
Generating Varied Training Corpora in Runyankore Using a Combined Semantic and Syntactic, Pattern-Grammar-based Approach—0
Citius at SemEval-2017 Task 2: Cross-Lingual Similarity from Comparable Corpora and Dependency-Based Contexts—0
GNEG: Graph-Based Negative Sampling for word2vec—0
hauWE: Hausa Words Embedding for Natural Language Processing—0
HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity—0
HG2Vec: Improved Word Embeddings from Dictionary and Thesaurus Based Heterogeneous Graph—0
HHU at SemEval-2017 Task 2: Fast Hash-Based Embeddings for Semantic Word Similarity Assessment—0
HindiWSD: A package for word sense disambiguation in Hinglish & Hindi—0
Community Detection in Political Twitter Networks using Nonnegative Matrix Factorization Methods—0
Hitachi at SemEval-2020 Task 3: Exploring the Representation Spaces of Transformers for Human Sense Word Similarity—0
FBK: Machine Translation Evaluation and Word Similarity metrics for Semantic Textual Similarity—0
Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models—0
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Benchmark Results

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