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 1001–1050 of 1564 papers

TitleStatusHype
Time-Aware Evidence Ranking for Fact-Checking—0
Why Not Simply Translate? A First Swedish Evaluation Benchmark for Semantic SimilarityCode1
SEEC: Semantic Vector Federation across Edge Computing Environments—0
Linked Credibility Reviews for Explainable Misinformation DetectionCode1
MultiGBS: A multi-layer graph approach to biomedical summarization—0
TabSim: A Siamese Neural Network for Accurate Estimation of Table Similarity—0
FAT ALBERT: Finding Answers in Large Texts using Semantic Similarity Attention Layer based on BERTCode0
Top2Vec: Distributed Representations of TopicsCode2
A Survey on Text Simplification—0
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityCode1
Effective Transfer Learning for Identifying Similar Questions: Matching User Questions to COVID-19 FAQs—0
Measuring prominence of scientific work in online news as a proxy for impact—0
Hard negative examples are hard, but usefulCode1
Logic Constrained Pointer Networks for Interpretable Textual SimilarityCode0
CORD19STS: COVID-19 Semantic Textual Similarity Dataset—0
Unsupervised Paraphrasing via Deep Reinforcement Learning—0
Language-agnostic BERT Sentence EmbeddingCode1
Unsupervised Semantic Hashing with Pairwise ReconstructionCode0
DeSpin: a prototype system for detecting spin in biomedical publications—0
Text Classification with Negative Supervision—0
tBERT: Topic Models and BERT Joining Forces for Semantic Similarity DetectionCode1
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity RewardsCode1
Class-Similarity Based Label Smoothing for Confidence Calibration—0
Exploiting Non-Taxonomic Relations for Measuring Semantic Similarity and Relatedness in WordNet—0
Canonicalizing Open Knowledge Bases with Multi-Layered Meta-Graph Neural Network—0
MixMOOD: A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measuresCode0
Approche supervis\'ee de calcul de similarit\'e s\'emantique entre paires de phrases (Supervised approach to compute semantic similarity between sentence pairs)—0
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data—0
Multi-Modality Cross Attention Network for Image and Sentence Matching—0
Automatic Generation of Topic LabelsCode1
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
SUPERT: Towards New Frontiers in Unsupervised Evaluation Metrics for Multi-Document SummarizationCode1
Autoencoding Pixies: Amortised Variational Inference with Graph Convolutions for Functional Distributional SemanticsCode0
Neural CRF Model for Sentence Alignment in Text SimplificationCode1
Discrete Optimization for Unsupervised Sentence Summarization with Word-Level ExtractionCode1
Semi-supervised lung nodule retrieval—0
On the Limitations of Cross-lingual Encoders as Exposed by Reference-Free Machine Translation EvaluationCode1
MSD-1030: A Well-built Multi-Sense Evaluation Dataset for Sense Representation Models—0
Word Embedding Evaluation in Downstream Tasks and Semantic Analogies—0
Urban Dictionary Embeddings for Slang NLP Applications—0
A French Corpus for Semantic Similarity—0
Representing Verbs with Visual Argument Vectors—0
Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation—0
Towards a Gold Standard for Evaluating Danish Word Embeddings—0
Spatial Multi-Arrangement for Clustering and Multi-way Similarity Dataset Construction—0
Building Semantic Grams of Human Knowledge—0
Multilingual Corpus Creation for Multilingual Semantic Similarity Task—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