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
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
Can a Fruit Fly Learn Word Embeddings?Code1
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
Improving Multilingual Neural Machine Translation For Low-Resource Languages: French, English - Vietnamese—0
A Locally Linear Procedure for Word Translation—0
Conception: Multilingually-Enhanced, Human-Readable Concept Vector RepresentationsCode1
Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information—0
Tiny Word Embeddings Using Globally Informed Reconstruction—0
Improving Word Embeddings through Iterative Refinement of Word- and Character-level Models—0
A Retrofitting Model for Incorporating Semantic Relations into Word Embeddings—0
SemEval-2020 Task 3: Graded Word Similarity in Context—0
Will\_Go at SemEval-2020 Task 3: An Accurate Model for Predicting the (Graded) Effect of Context in Word Similarity Based on BERT—0
UZH at SemEval-2020 Task 3: Combining BERT with WordNet Sense Embeddings to Predict Graded Word Similarity Changes—0
Joint Training for Learning Cross-lingual Embeddings with Sub-word Information without Parallel Corpora—0
Ferryman at SemEval-2020 Task 3: Bert with TFIDF-Weighting for Predicting the Effect of Context in Word Similarity—0
CitiusNLP at SemEval-2020 Task 3: Comparing Two Approaches for Word Vector Contextualization—0
Hitachi at SemEval-2020 Task 3: Exploring the Representation Spaces of Transformers for Human Sense Word Similarity—0
JUSTMasters at SemEval-2020 Task 3: Multilingual Deep Learning Model to Predict the Effect of Context in Word Similarity—0
STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation 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