SOTAVerified

Semantic Similarity

The main objective Semantic Similarity is to measure the distance between the semantic meanings of a pair of words, phrases, sentences, or documents. For example, the word “car” is more similar to “bus” than it is to “cat”. The two main approaches to measuring Semantic Similarity are knowledge-based approaches and corpus-based, distributional methods.

Source: Visual and Semantic Knowledge Transfer for Large Scale Semi-supervised Object Detection

Papers

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Showing 1351–1400 of 1564 papers

TitleStatusHype
Visually Aligned Word Embeddings for Improving Zero-shot Learning—0
BIOSSES: A Semantic Sentence Similarity Estimation System for the Biomedical Domain—0
A Semantics-Based Measure of Emoji SimilarityCode0
Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval—0
Online Asymmetric Similarity Learning for Cross-Modal Retrieval—0
Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval—0
EviNets: Neural Networks for Combining Evidence Signals for Factoid Question Answering—0
Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text SummarizationCode0
Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity—0
Cr\'eation et validation de signatures s\'emantiques : application \`a la mesure de similarit\'e s\'emantique et \`a la substitution lexicale (Creating and validating semantic signatures : application for measuring semantic similarity and lexical substitution)—0
Am\'elioration de la similarit\'e s\'emantique vectorielle par m\'ethodes non-supervis\'ees (Improved the Semantic Similarity with Weighting Vectors)—0
Simbow : une mesure de similarit\'e s\'emantique entre textes (Simbow : a semantic similarity metric between texts)—0
Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual ConstraintsCode0
Semi-supervised Learning with GANs: Manifold Invariance with Improved Inference—0
Relevance-based Word Embedding—0
Semantic Similarity from Natural Language and Ontology Analysis—0
Cross-media Similarity Metric Learning with Unified Deep Networks—0
Exploring Word Embeddings for Unsupervised Textual User-Generated Content Normalization—0
CompiLIG at SemEval-2017 Task 1: Cross-Language Plagiarism Detection Methods for Semantic Textual SimilarityCode0
Word Vector Space Specialisation—0
Semantic Similarity of Arabic Sentences with Word Embeddings—0
IIT (BHU): System Description for LSDSem'17 Shared Task—0
Cross-Lingual Syntactically Informed Distributed Word Representations—0
Literal or idiomatic? Identifying the reading of single occurrences of German multiword expressions using word embeddings—0
Improving ROUGE for Timeline Summarization—0
Building Lexical Vector Representations from Concept Definitions—0
Large-scale evaluation of dependency-based DSMs: Are they worth the effort?—0
Is this a Child, a Girl or a Car? Exploring the Contribution of Distributional Similarity to Learning Referential Word Meanings—0
Bundle Optimization for Multi-aspect Embedding—0
Cross-modal Deep Metric Learning with Multi-task Regularization—0
No Fuss Distance Metric Learning using ProxiesCode1
Story Cloze Ending Selection Baselines and Data Examination—0
A Study of Metrics of Distance and Correlation Between Ranked Lists for Compositionality Detection—0
A Novel Comprehensive Approach for Estimating Concept Semantic Similarity in WordNet—0
A Knowledge-Based Approach to Word Sense Disambiguation by distributional selection and semantic features—0
Just an Update on PMING Distance for Web-based Semantic Similarity in Artificial Intelligence and Data Mining—0
Dense Associative Memory is Robust to Adversarial Inputs—0
Semantic Specialization of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints—0
Web-based Semantic Similarity for Emotion Recognition in Web Objects—0
Multilingual Word Embeddings using Multigraphs—0
Cross-Lingual Predicate Mapping Between Linked Data Ontologies—0
Convolution-Enhanced Bilingual Recursive Neural Network for Bilingual Semantic Modeling—0
Reddit Temporal N-gram Corpus and its Applications on Paraphrase and Semantic Similarity in Social Media using a Topic-based Latent Semantic Analysis—0
Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity—0
A Paraphrase and Semantic Similarity Detection System for User Generated Short-Text Content on Microblogs—0
Integrating Distributional and Lexical Information for Semantic Classification of Words using MRMF—0
CogALex-V Shared Task: GHHH - Detecting Semantic Relations via Word Embeddings—0
Sinhala Short Sentence Similarity Calculation using Corpus-Based and Knowledge-Based Similarity Measures—0
Book Reviews: Semantic Similarity from Natural Language and Ontology Analysis by S\'ebastien Harispe, Sylvie Ranwez, Stefan Janaqi, and Jacky Montmain—0
'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems—0
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All datasetsAnnotated corpus for semantic similarity of clinical trial outcomes (expanded corpus)Annotated corpus for semantic similarity of clinical trial outcomes (original corpus)SICKBIOSSESCHIP-STSClinicalSTSMedSTS

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F193.38—Unverified
2SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F191.51—Unverified
3SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F190.69—Unverified
4BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F189.16—Unverified
5BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, expanded corpus")F189.12—Unverified
#ModelMetricClaimedVerifiedStatus
1BioBERT (pre-trained on PubMed abstracts + PMC, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.75—Unverified
2SciBERT cased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3—Unverified
3SciBERT uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3—Unverified
4BERT-Base uncased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F186.8—Unverified
5BERT-Base cased (fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F184.21—Unverified
#ModelMetricClaimedVerifiedStatus
1Doc2VecCMSE0.31—Unverified
2LSTM (Tai et al., 2015)MSE0.28—Unverified
3Bidirectional LSTM (Tai et al., 2015)MSE0.27—Unverified
4combine-skip (Kiros et al., 2015)MSE0.27—Unverified
5Dependency Tree-LSTM (Tai et al., 2015)MSE0.25—Unverified
#ModelMetricClaimedVerifiedStatus
1BioLinkBERT (large)Pearson Correlation0.94—Unverified
2BioLinkBERT (base)Pearson Correlation0.93—Unverified
3NCBI_BERT(base) (P+M)Pearson Correlation0.92—Unverified
#ModelMetricClaimedVerifiedStatus
1MacBERT-largeMacro F185.6—Unverified
#ModelMetricClaimedVerifiedStatus
1CharacterBERT (base, medical, ensemble)Pearson Correlation85.62—Unverified
#ModelMetricClaimedVerifiedStatus
1NCBI_BERT(base) (P+M)Pearson Correlation0.85—Unverified