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Word Similarity

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

Papers

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Showing 101–150 of 378 papers

TitleStatusHype
Improving Word Embeddings through Iterative Refinement of Word- and Character-level Models—0
JUSTMasters at SemEval-2020 Task 3: Multilingual Deep Learning Model to Predict the Effect of Context in 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
A Locally Linear Procedure for Word Translation—0
A Retrofitting Model for Incorporating Semantic Relations into Word Embeddings—0
Hitachi at SemEval-2020 Task 3: Exploring the Representation Spaces of Transformers for Human Sense Word Similarity—0
CitiusNLP at SemEval-2020 Task 3: Comparing Two Approaches for Word Vector Contextualization—0
Generating Varied Training Corpora in Runyankore Using a Combined Semantic and Syntactic, Pattern-Grammar-based Approach—0
Ferryman at SemEval-2020 Task 3: Bert with TFIDF-Weighting for Predicting the Effect of Context in Word Similarity—0
Tiny Word Embeddings Using Globally Informed Reconstruction—0
Manifold Learning-based Word Representation Refinement Incorporating Global and Local Information—0
STEPs-RL: Speech-Text Entanglement for Phonetically Sound Representation Learning—0
Analysing Word Representation from the Input and Output Embeddings in Neural Network Language ModelsCode0
Robust Backed-off Estimation of Out-of-Vocabulary Embeddings—0
How does BERT capture semantics? A closer look at polysemous wordsCode0
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
Principal Word Vectors—0
Dirichlet-Smoothed Word Embeddings for Low-Resource Settings—0
Attention Word Embedding—0
Enhancing Word Embeddings with Knowledge Extracted from Lexical ResourcesCode0
Sequential Sentence Matching Network for Multi-turn Response Selection in Retrieval-based Chatbots—0
An Accurate Model for Predicting the (Graded) Effect of Context in Word Similarity Based on Bert—0
MultiSeg: Parallel Data and Subword Information for Learning Bilingual Embeddings in Low Resource ScenariosCode0
LMU Bilingual Dictionary Induction System with Word Surface Similarity Scores for BUCC 2020—0
Spatial Multi-Arrangement for Clustering and Multi-way Similarity Dataset Construction—0
BURT: BERT-inspired Universal Representation from Twin Structure—0
Learning Geometric Word Meta-Embeddings—0
A Simple Approach to Learning Unsupervised Multilingual Embeddings—0
Text classification with word embedding regularization and soft similarity measureCode0
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction—0
Multi-Fusion Chinese WordNet (MCW) : Compound of Machine Learning and Manual Correction—0
A Common Semantic Space for Monolingual and Cross-Lingual Meta-EmbeddingsCode0
Balancing the composition of word embeddings across heterogenous data sets—0
Multiplex Word Embeddings for Selectional Preference AcquisitionCode0
Learning Lexical Subspaces in a Distributional Vector SpaceCode0
Learning Numeral Embeddings—0
CoSimLex: A Resource for Evaluating Graded Word Similarity in ContextCode0
DRCoVe: An Augmented Word Representation Approach using Distributional and Relational Context—0
hauWE: Hausa Words Embedding for Natural Language Processing—0
Learning Multi-Sense Word Distributions using Approximate Kullback-Leibler Divergence—0
Word Sense Disambiguation using Knowledge-based 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