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 801–850 of 1564 papers

TitleStatusHype
Locality Preserving Sentence Encoding—0
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation—0
Searching for Legal Documents at Paragraph Level: Automating Label Generation and Use of an Extended Attention Mask for Boosting Neural Models of Semantic Similarity—0
Anaphora Resolution in Dialogue: Description of the DFKI-TalkingRobots System for the CODI-CRAC 2021 Shared-Task—0
Unsupervised Full Constituency Parsing with Neighboring Distribution Divergence—0
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference—0
Mixed Supervised Object Detection by Transferring Mask Prior and Semantic SimilarityCode1
Self-supervised similarity search for large scientific datasetsCode1
MIC: Model-agnostic Integrated Cross-channel Recommenders—0
Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant—0
FarFetched: An Entity-centric Approach for Reasoning on Textually Represented Environments—0
Multi-Modal Interaction Graph Convolutional Network for Temporal Language Localization in VideosCode1
Efficient Neural Ranking using Forward IndexesCode1
Doubly-Trained Adversarial Data Augmentation for Neural Machine TranslationCode0
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse NetworksCode0
What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical StudyCode1
An Isotropy Analysis in the Multilingual BERT Embedding SpaceCode0
Global Explainability of BERT-Based Evaluation Metrics by Disentangling along Linguistic FactorsCode1
Efficient Multi-Modal Embeddings from Structured Data—0
Using Single-Trial Representational Similarity Analysis with EEG to track semantic similarity in emotional word processing—0
Contextualized Semantic Distance between Highly Overlapped TextsCode0
Neural sentence embedding models for semantic similarity estimation in the biomedical domainCode0
Agnostic Personalized Federated Learning with Kernel Factorization—0
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different—0
Cluster Analysis with Deep Embeddings and Contrastive Learning—0
Sorting through the noise: Testing robustness of information processing in pre-trained language models—0
Rethinking Crowd Sourcing for Semantic Similarity—0
Towards Universal Dense Retrieval for Open-domain Question Answering—0
Investigating Entropy for Extractive Document Summarization—0
ConvFiT: Conversational Fine-Tuning of Pretrained Language Models—0
AutoGCL: Automated Graph Contrastive Learning via Learnable View GeneratorsCode1
Adversarial Training with Contrastive Learning in NLP—0
Contrastive Word Embedding Learning for Neural Machine Translation—0
Transformers Can Compose Skills To Solve Novel Problems Without Finetuning—0
A Semantic Indexing Structure for Image Retrieval—0
ARMAN: Pre-training with Semantically Selecting and Reordering of Sentences for Persian Abstractive SummarizationCode1
Data Driven Content Creation using Statistical and Natural Language Processing Techniques for Financial Domain—0
On Length Divergence Bias in Textual Matching Models—0
PR-Net: Preference Reasoning for Personalized Video Highlight Detection—0
Paragraph Similarity Matches for Generating Multiple-choice Test Items—0
Assessing the Eligibility of Backtranslated Samples Based on Semantic Similarity for the Paraphrase Identification Task—0
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification—0
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural NetworksCode1
Multiplex Graph Neural Network for Extractive Text Summarization—0
Reinforcement Learning-powered Semantic Communication via Semantic SimilarityCode1
Lingxi: A Diversity-aware Chinese Modern Poetry Generation System—0
When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?Code1
Multi-Attributed and Structured Text-to-Face Synthesis—0
Semantic-Preserving Adversarial Text AttacksCode1
Czech News Dataset for Semantic Textual Similarity—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