SOTAVerified

Word Similarity

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 378 papers

TitleStatusHype
A Self-Boosting Framework for Automated Radiographic Report Generation—0
Scalable Approach for Normalizing E-commerce Text Attributes (SANTA)—0
Evaluating Word Embeddings with Categorical ModularityCode0
WOVe: Incorporating Word Order in GloVe Word Embeddings—0
Towards Bengali Word Embedding: Corpus Creation, Intrinsic and Extrinsic Evaluations—0
Are Word Embedding Methods Stable and Should We Care About It?—0
Sentence Alignment with Parallel Documents Facilitates Biomedical Machine TranslationCode0
Effect of Post-processing on Contextualized Word Representations—0
SuperSim: a test set for word similarity and relatedness in Swedish—0
Learning to Remove: Towards Isotropic Pre-trained BERT EmbeddingCode0
Fine-tuning Distributional Semantic Models for Closely-Related Languages—0
Evaluation of Morphological Embeddings for English and Russian Languages—0
Semantic Data Set Construction from Human Clustering and Spatial Arrangement—0
EDS-MEMBED: Multi-sense embeddings based on enhanced distributional semantic structures via a graph walk over word senses—0
Co-occurrences using Fasttext embeddings for word similarity tasks in UrduCode0
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with SubwordsCode0
Multi-sense embeddings through a word sense disambiguation processCode0
SemGloVe: Semantic Co-occurrences for GloVe from BERTCode0
Improved Biomedical Word Embeddings in the Transformer EraCode0
Improving Multilingual Neural Machine Translation For Low-Resource Languages: French,English - Vietnamese—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
Tiny Word Embeddings Using Globally Informed Reconstruction—0
Joint Training for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora—0
Hitachi at SemEval-2020 Task 3: Exploring the Representation Spaces of Transformers for Human Sense Word Similarity—0
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Benchmark Results

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