SOTAVerified

Word Similarity

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 101–125 of 378 papers

TitleStatusHype
Will\_Go at SemEval-2020 Task 3: An Accurate Model for Predicting the (Graded) Effect of Context in Word Similarity Based on BERT—0
Tiny Word Embeddings Using Globally Informed Reconstruction—0
Ferryman at SemEval-2020 Task 3: Bert with TFIDF-Weighting for Predicting the Effect of Context in Word Similarity—0
JUSTMasters at SemEval-2020 Task 3: Multilingual Deep Learning Model to Predict the Effect of Context in Word Similarity—0
Hitachi at SemEval-2020 Task 3: Exploring the Representation Spaces of Transformers for Human Sense Word Similarity—0
Generating Varied Training Corpora in Runyankore Using a Combined Semantic and Syntactic, Pattern-Grammar-based Approach—0
UZH at SemEval-2020 Task 3: Combining BERT with WordNet Sense Embeddings to Predict Graded Word Similarity Changes—0
SemEval-2020 Task 3: Graded Word Similarity in Context—0
A Locally Linear Procedure for Word Translation—0
A Retrofitting Model for Incorporating Semantic Relations into Word Embeddings—0
CitiusNLP at SemEval-2020 Task 3: Comparing Two Approaches for Word Vector Contextualization—0
STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning—0
How does BERT capture semantics? A closer look at polysemous wordsCode0
Analysing Word Representation from the Input and Output Embeddings in Neural Network Language ModelsCode0
Robust Backed-off Estimation of Out-of-Vocabulary Embeddings—0
Anchor-based Bilingual Word Embeddings for Low-Resource Languages—0
BRUMS at SemEval-2020 Task 3: Contextualised Embeddings for Predicting the (Graded) Effect of Context in Word SimilarityCode0
Robustness and Reliability of Gender Bias Assessment in Word Embeddings: The Role of Base PairsCode0
Bio-inspired Structure Identification in Language Embeddings—0
MultiGBS: A multi-layer graph approach to biomedical summarization—0
BabelEnconding at SemEval-2020 Task 3: Contextual Similarity as a Combination of Multilingualism and Language Models—0
Word2vec Skip-gram Dimensionality Selection via Sequential Normalized Maximum Likelihood—0
A Neural Generative Model for Joint Learning Topics and Topic-Specific Word EmbeddingsCode0
Word meaning in minds and machines—0
MULTISEM at SemEval-2020 Task 3: Fine-tuning BERT for Lexical MeaningCode0
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Benchmark Results

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