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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1151–1200 of 1564 papers

TitleStatusHype
Modeling performance differences on cognitive tests using LSTMs and skip-thought vectors trained on reported media consumption.—0
Modeling Sentences in the Latent Space—0
Modified Query Expansion Through Generative Adversarial Networks for Information Extraction in E-Commerce—0
Monolingual alignment of word senses and definitions in lexicographical resources—0
Moving Other Way: Exploring Word Mover Distance Extensions—0
MSD-1030: A Well-built Multi-Sense Evaluation Dataset for Sense Representation Models—0
Multi-Attributed and Structured Text-to-Face Synthesis—0
MultiGBS: A multi-layer graph approach to biomedical summarization—0
Multi-Label Transfer Learning for Multi-Relational Semantic Similarity—0
Multi-Level Graph Contrastive Learning—0
Multilingual Communication System with Deaf Individuals Utilizing Natural and Visual Languages—0
Multilingual Corpus Creation for Multilingual Semantic Similarity Task—0
Multilingual Financial Documentation Summarization by Team_Tredence for FNS2022—0
Multilinguality at Your Fingertips : BabelNet, Babelfy and Beyond !—0
Multi-Lingual Malaysian Embedding: Leveraging Large Language Models for Semantic Representations—0
Multilingual Word Embeddings using Multigraphs—0
Multi-Modality Cross Attention Network for Image and Sentence Matching—0
Multimodal Learning with Deep Boltzmann Machines—0
Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression Recognition—0
Multiple References with Meaningful Variations Improve Literary Machine Translation—0
Multiplex Graph Neural Network for Extractive Text Summarization—0
Multiscale Voxel Based Decoding For Enhanced Natural Image Reconstruction From Brain Activity—0
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Cross-Lingual Lexical Semantic Similarity—0
Multi-SimLex: A Large-Scale Evaluation of Multilingual and Crosslingual Lexical Semantic Similarity—0
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching—0
Multi-User Semantic Fusion for Semantic Communications over Degraded Broadcast Channels—0
MultiWiki: Interlingual Text Passage Alignment in Wikipedia—0
MWPRanker: An Expression Similarity Based Math Word Problem Retriever—0
NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features—0
NASARI: a Novel Approach to a Semantically-Aware Representation of Items—0
Neural Keyphrase Generation: Analysis and Evaluation—0
Neural Keyphrase Generation: Analysis and Evaluation—0
Neural Network Architecture for Credibility Assessment of Textual Claims—0
Neural Passage Retrieval with Improved Negative Contrast—0
Neuro-Symbolic Artificial Intelligence (AI) for Intent based Semantic Communication—0
NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level Semantic Slicing—0
News Aggregation with Diverse Viewpoint Identification Using Neural Embeddings and Semantic Understanding Models—0
NEWSFARM: the Largest Chinese Corpus for Long News Summarization—0
NgramQuery - Smart Information Extraction from Google N-gram using External Resources—0
NLP and Education: using semantic similarity to evaluate filled gaps in a large-scale Cloze test in the classroom—0
NLU-STR at SemEval-2024 Task 1: Generative-based Augmentation and Encoder-based Scoring for Semantic Textual Relatedness—0
Noise Contrastive Estimation-based Matching Framework for Low-resource Security Attack Pattern Recognition—0
Not just a matter of semantics: the relationship between visual similarity and semantic similarity—0
NSURL-2019 Shared Task 8: Semantic Question Similarity in Arabic—0
NTNU-CORE: Combining strong features for semantic similarity—0
NTNU: Measuring Semantic Similarity with Sublexical Feature Representations and Soft Cardinality—0
Object-aware Long-short-range Spatial Alignment for Few-Shot Fine-Grained Image Classification—0
Omni TM-AE: A Scalable and Interpretable Embedding Model Using the Full Tsetlin Machine State Space—0
On Defining Smart Cities using Transformer Neural Networks—0
Online Asymmetric Similarity Learning for Cross-Modal Retrieval—0
Show:102550
← PrevPage 24 of 32Next →
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 uncased (SciVocab, fine-tuned on "Annotated corpus for semantic similarity of clinical trial outcomes, original corpus")F189.3—Unverified
3SciBERT cased (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