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 601–650 of 1564 papers

TitleStatusHype
Bridging Fairness and Environmental Sustainability in Natural Language Processing—0
Learning Semantic Textual Similarity via Topic-informed Discrete Latent VariablesCode0
H_eval: A new hybrid evaluation metric for automatic speech recognition tasks—0
RQUGE: Reference-Free Metric for Evaluating Question Generation by Answering the QuestionCode1
Unsupervised Text Summarization of Long Documents using Dependency-based Noun Phrases and Contextual Order Arrangement—0
Sentiment Classification of Code-Switched Text using Pre-trained Multilingual Embeddings and Segmentation—0
Zero-Shot Text Matching for Automated Auditing using Sentence Transformers—0
You can't pick your neighbors, or can you? When and how to rely on retrieval in the kNN-LMCode0
Seq2Seq-SC: End-to-End Semantic Communication Systems with Pre-trained Language Model—0
SSD: Towards Better Text-Image Consistency Metric in Text-to-Image GenerationCode0
Improving Adversarial Robustness with Self-Paced Hard-Class Pair ReweightingCode0
A practical method for occupational skills detection in Vietnamese job listings—0
Pointly-Supervised Panoptic SegmentationCode1
Describing Sets of Images with Textual-PCACode1
Multi-view Semantic Matching of Question retrieval using Fine-grained Semantic Representations—0
Retrofitting Multilingual Sentence Embeddings with Abstract Meaning RepresentationCode0
Like a bilingual baby: The advantage of visually grounding a bilingual language model—0
Learning to embed semantic similarity for joint image-text retrieval—0
GMA3D: Local-Global Attention Learning to Estimate Occluded Motions of Scene FlowCode0
Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation—0
Reinforcement Learning with Large Action Spaces for Neural Machine Translation—0
Weak-shot Semantic Segmentation via Dual Similarity TransferCode1
A Framework for Web Services Retrieval Using Bio Inspired Clustering—0
Lexical semantics enhanced neural word embeddings—0
TextGraphs-16 Natural Language Premise Selection Task: Zero-Shot Premise Selection with Prompting Generative Language Models—0
Varanalysis@SV-Ident 2022: Variable Detection and Disambiguation Based on Semantic Similarity—0
SNLP at TextGraphs 2022 Shared Task: Unsupervised Natural Language Premise Selection in Mathematical Texts Using Sentence-MPNet—0
A Generalized Method for Automated Multilingual Loanword DetectionCode0
QSTS: A Question-Sensitive Text Similarity Measure for Question Generation—0
KEViN: A Knowledge Enhanced Validity and Novelty Classifier for Arguments—0
Speaker Clustering in Textual Dialogue with Pairwise Utterance Relation and Cross-corpus Dialogue Act Supervision—0
COPNER: Contrastive Learning with Prompt Guiding for Few-shot Named Entity RecognitionCode1
OpticE: A Coherence Theory-Based Model for Link Prediction—0
Evaluation of taxonomic and neural embedding methods for calculating semantic similarity—0
Word to Sentence Visual Semantic Similarity for Caption Generation: Lessons Learned—0
SAPA: Similarity-Aware Point Affiliation for Feature UpsamplingCode1
Raising the Bar on the Evaluation of Out-of-Distribution Detection—0
Unsupervised Hashing with Semantic Concept MiningCode0
EffEval: A Comprehensive Evaluation of Efficiency for MT Evaluation MetricsCode0
A Closer Look at Novel Class Discovery from the Labeled Set—0
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity MatchingCode0
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation—0
Ranking-Enhanced Unsupervised Sentence Representation LearningCode1
Towards explainable evaluation of language models on the semantic similarity of visual concepts—0
VGStore: A Multimodal Extension to SPARQL for Querying RDF Scene GraphCode0
Monolingual alignment of word senses and definitions in lexicographical resources—0
Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples—0
Selective Text Augmentation with Word Roles for Low-Resource Text ClassificationCode0
Zero-shot Event Causality Identification with Question Answering—0
Combining Structured and Unstructured Knowledge in an Interactive Search Dialogue System—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