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Word Similarity

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

Papers

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Showing 251–300 of 378 papers

TitleStatusHype
Vertex-Context Sampling for Weighted Network Embedding—0
Replicability Analysis for Natural Language Processing: Testing Significance with Multiple DatasetsCode0
Joint Unsupervised Learning of Semantic Representation of Words and Roles in Dependency Trees—0
Evaluation of word embeddings against cognitive processes: primed reaction times in lexical decision and naming tasks—0
Dict2vec : Learning Word Embeddings using Lexical DictionariesCode0
Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding—0
Word Re-Embedding via Manifold Dimensionality Retention—0
Joint Embeddings of Chinese Words, Characters, and Fine-grained Subcharacter Components—0
Semantic Composition via Probabilistic Model Theory—0
Simple and Effective Dimensionality Reduction for Word EmbeddingsCode0
Spectral Graph-Based Method of Multimodal Word Embedding—0
Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information—0
Learning Word Representations with Regularization from Prior Knowledge—0
An Artificial Language Evaluation of Distributional Semantic Models—0
QLUT at SemEval-2017 Task 2: Word Similarity Based on Word Embedding and Knowledge Base—0
Mahtab at SemEval-2017 Task 2: Combination of Corpus-based and Knowledge-based Methods to Measure Semantic Word Similarity—0
HHU at SemEval-2017 Task 2: Fast Hash-Based Embeddings for Semantic Word Similarity Assessment—0
RUFINO at SemEval-2017 Task 2: Cross-lingual lexical similarity by extending PMI and word embeddings systems with a Swadesh's-like list—0
HCCL at SemEval-2017 Task 2: Combining Multilingual Word Embeddings and Transliteration Model for Semantic Similarity—0
Sew-Embed at SemEval-2017 Task 2: Language-Independent Concept Representations from a Semantically Enriched WikipediaCode0
Jmp8 at SemEval-2017 Task 2: A simple and general distributional approach to estimate word similarityCode0
SemEval-2017 Task 2: Multilingual and Cross-lingual Semantic Word Similarity—0
L2F/INESC-ID at SemEval-2017 Tasks 1 and 2: Lexical and semantic features in word and textual similarity—0
Citius at SemEval-2017 Task 2: Cross-Lingual Similarity from Comparable Corpora and Dependency-Based Contexts—0
Wild Devs' at SemEval-2017 Task 2: Using Neural Networks to Discover Word Similarity—0
Learning Rare Word Representations using Semantic Bridging—0
Improve Lexicon-based Word Embeddings By Word Sense Disambiguation—0
Reconstruction of Word Embeddings from Sub-Word Parameters—0
A Critique of a Critique of Word Similarity Datasets: Sanity Check or Unnecessary Confusion?—0
A Simple Approach to Learn Polysemous Word EmbeddingsCode0
Improved Word Representation Learning with SememesCode0
Semantic Word Clusters Using Signed Spectral Clustering—0
Are distributional representations ready for the real world? Evaluating word vectors for grounded perceptual meaningCode0
Neural Embeddings of Graphs in Hyperbolic Space—0
Multimodal Word DistributionsCode1
ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational KnowledgeCode2
Word Similarity Datasets for Indian Languages: Annotation and Baseline Systems—0
Reranking Translation Candidates Produced by Several Bilingual Word Similarity Sources—0
Predicting Emotional Word Ratings using Distributional Representations and Signed Clustering—0
Cross-Lingual Syntactically Informed Distributed Word Representations—0
Integrating Semantic Knowledge into Lexical Embeddings Based on Information Content MeasurementCode0
Construction of a Japanese Word Similarity DatasetCode0
How to evaluate word embeddings? On importance of data efficiency and simple supervised tasksCode0
All-but-the-Top: Simple and Effective Postprocessing for Word RepresentationsCode0
Implicitly Incorporating Morphological Information into Word Embedding—0
Real Multi-Sense or Pseudo Multi-Sense: An Approach to Improve Word Representation—0
Improved Word Embeddings with Implicit Structure Information—0
Sub-Word Similarity based Search for Embeddings: Inducing Rare-Word Embeddings for Word Similarity Tasks and Language Modelling—0
Modifications of Machine Translation Evaluation Metrics by Using Word Embeddings—0
Definition Modeling: Learning to define word embeddings in natural languageCode0
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Benchmark Results

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