SOTAVerified

Word Similarity

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 378 papers

TitleStatusHype
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
Multi-Stage Framework with Refinement based Point Set Registration for Unsupervised Bi-Lingual Word Alignment—0
Subword-based Cross-lingual Transfer of Embeddings from Hindi to Marathi—0
A Proposal of Automatic Error Correction in Text—0
Rare Tokens Degenerate All Tokens: Improving Neural Text Generation via Adaptive Gradient Gating for Rare Token Embeddings—0
RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word RepresentationsCode0
Sentence Structure and Word Relationship Modeling for Emphasis SelectionCode0
Similarity Based Label Smoothing For Dialogue Generation—0
A Comparison of the Word Similarity Measurement in English-Arabic Translation Memory Segment Retrieval Including an Inflectional Affix Intervention—0
Word2Box: Capturing Set-Theoretic Semantics of Words using Box EmbeddingsCode1
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
Gender and Representation Bias in GPT-3 Generated StoriesCode1
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
Learning to Remove: Towards Isotropic Pre-trained BERT EmbeddingCode0
SuperSim: a test set for word similarity and relatedness in Swedish—0
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
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