SOTAVerified

Word Similarity

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 226–250 of 378 papers

TitleStatusHype
Towards a Theoretical Understanding of Word and Relation Representation—0
Towards Bengali Word Embedding: Corpus Creation, Intrinsic and Extrinsic Evaluations—0
Towards Building Affect sensitive Word Distributions—0
Training Neural Machine Translation using Word Embedding-based Loss—0
Transferred Embeddings for Igbo Similarity, Analogy, and Diacritic Restoration Tasks—0
TVD: A Reproducible and Multiply Aligned TV Series Dataset—0
Understanding and Improving Multi-Sense Word Embeddings via Extended Robust Principal Component Analysis—0
Unseen Word Representation by Aligning Heterogeneous Lexical Semantic Spaces—0
Unsupervised Low-Dimensional Vector Representations for Words, Phrases and Text that are Transparent, Scalable, and produce Similarity Metrics that are Complementary to Neural Embeddings—0
Unsupervised Measure of Word Similarity: How to Outperform Co-occurrence and Vector Cosine in VSMs—0
Unsupervised Morphological Expansion of Small Datasets for Improving Word Embeddings—0
Unsupervised Morphology Induction Using Word Embeddings—0
Using Ellipsis Detection and Word Similarity for Transformation of Spoken Language into Grammatically Valid Sentences—0
Using Images to Find Context-Independent Word Representations in Vector Space—0
UZH at SemEval-2020 Task 3: Combining BERT with WordNet Sense Embeddings to Predict Graded Word Similarity Changes—0
Vertex-Context Sampling for Weighted Network Embedding—0
Visual Grounding of Inter-lingual Word-Embeddings—0
Walk-based Computation of Contextual Word Similarity—0
What a Nerd! Beating Students and Vector Cosine in the ESL and TOEFL Datasets—0
What just happened? Evaluating retrofitted distributional word vectors—0
When Hyperparameters Help: Beneficial Parameter Combinations in Distributional Semantic Models—0
WiC: the Word-in-Context Dataset for Evaluating Context-Sensitive Meaning Representations—0
Wild Devs' at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity—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
Wolves at SemEval-2018 Task 10: Semantic Discrimination based on Knowledge and Association—0
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Benchmark Results

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