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 1051–1100 of 1564 papers

TitleStatusHype
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data—0
Approche supervis\'ee de calcul de similarit\'e s\'emantique entre paires de phrases (Supervised approach to compute semantic similarity between sentence pairs)—0
Multi-Modality Cross Attention Network for Image and Sentence Matching—0
Boosting Few-Shot Learning With Adaptive Margin Loss—0
Learning Tversky Similarity—0
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative SamplingCode0
Learning to hash with semantic similarity metrics and empirical KL divergence—0
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional SemanticsCode0
Semi-supervised lung nodule retrieval—0
Legal-ES: A Set of Large Scale Resources for Spanish Legal Text Processing—0
Extrapolating Binder Style Word Embeddings to New Words—0
Towards a Gold Standard for Evaluating Danish Word Embeddings—0
A French Corpus for Semantic Similarity—0
Urban Dictionary Embeddings for Slang NLP Applications—0
Representing Verbs with Visual Argument Vectors—0
Multilingual Corpus Creation for Multilingual Semantic Similarity Task—0
A Thesaurus for Biblical Hebrew—0
Word Embedding Evaluation in Downstream Tasks and Semantic Analogies—0
MSD-1030: A Well-built Multi-Sense Evaluation Dataset for Sense Representation Models—0
Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation—0
Building Semantic Grams of Human Knowledge—0
Towards Automatic Thesaurus Construction and Enrichment.—0
Spatial Multi-Arrangement for Clustering and Multi-way Similarity Dataset Construction—0
Combining Word Embeddings and N-grams for Unsupervised Document Summarization—0
Evolution of Semantic Similarity -- A Survey—0
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric—0
Beyond Background-Aware Correlation Filters: Adaptive Context Modeling by Hand-Crafted and Deep RGB Features for Visual Tracking—0
A random forest based computational model for predicting novel lncRNA-disease associationsCode0
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity—0
Unifying Specialist Image Embedding into Universal Image Embedding—0
Friend Recommendation based on Hashtags Analysis—0
Comment Ranking Diversification in Forum DiscussionsCode0
A Quadruplet Loss for Enforcing Semantically Coherent Embeddings in Multi-output Classification ProblemsCode0
Language-Independent Tokenisation Rivals Language-Specific Tokenisation for Word Similarity Prediction—0
Utilizing a null class to restrict decision spaces and defend against neural network adversarial attacksCode0
End-To-End Graph-based Deep Semi-Supervised Learning—0
Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding—0
Classifying Wikipedia in a fine-grained hierarchy: what graphs can contribute—0
Hybrid Semantic Recommender System for Chemical CompoundsCode0
Enhancing lexical-based approach with external knowledge for Vietnamese multiple-choice machine reading comprehension—0
User-in-the-loop Adaptive Intent Detection for Instructable Digital AssistantCode0
Open Domain Question Answering Using Web Tables—0
Ranking and Classification driven Feature Learning for Person Re_identificationCode0
MALA: Cross-Domain Dialogue Generation with Action Learning—0
Semantic Similarity To Improve Question Understanding in a Virtual Patient—0
Legal document retrieval across languages: topic hierarchies based on synsets—0
Instance Cross Entropy for Deep Metric Learning—0
SemanticZ at SemEval-2016 Task 3: Ranking Relevant Answers in Community Question Answering Using Semantic Similarity Based on Fine-tuned Word EmbeddingsCode0
Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension—0
Weakly-Supervised Video Moment Retrieval via Semantic Completion Network—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