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 751–800 of 1564 papers

TitleStatusHype
Task Formulation Matters When Learning Continuously: A Case Study in Visual Question Answering—0
SNCSE: Contrastive Learning for Unsupervised Sentence Embedding with Soft Negative SamplesCode1
Agile Effort Estimation: Have We Solved the Problem Yet? Insights From A Replication StudyCode0
PromptBERT: Improving BERT Sentence Embeddings with PromptsCode2
Structure and Semantics Preserving Document Representations—0
Graph-Based Recommendation System Enhanced with Community Detection—0
Semantic and sentiment analysis of selected Bhagavad Gita translations using BERT-based language frameworkCode0
Embeddings Evaluation Using a Novel Measure of Semantic SimilarityCode0
HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive RegularizationCode0
Traffic event description based on Twitter data using Unsupervised Learning Methods for Indian road conditions—0
TFW2V: An Enhanced Document Similarity Method for the Morphologically Rich Finnish LanguageCode0
Cognition-aware Cognate DetectionCode0
KGE-CL: Contrastive Learning of Tensor Decomposition Based Knowledge Graph EmbeddingsCode1
Superpixel-Based Building Damage Detection from Post-earthquake Imagery Using Deep Neural Networks—0
DIBERT: Dependency Injected Bidirectional Encoder Representations from TransformersCode0
Contrastive Learning of Sentence Representations—0
Cross-lingual Alignment of Knowledge Graph Triples with Sentences—0
Classifying Verses of the Quran using Doc2vec—0
Cross-Domain Language Modeling: An Empirical Investigation—0
Bilingual Topic Models for Comparable Corpora—0
A Simple Long-Tailed Recognition Baseline via Vision-Language ModelCode1
3D Compositional Zero-shot Learning with DeCompositional Consensus—0
Similarity Contrastive Estimation for Self-Supervised Soft Contrastive LearningCode1
Code Clone Detection based on Event Embedding and Event Dependency—0
Few-Shot Object Detection via Association and DIscriminationCode1
Using Distributional Principles for the Semantic Study of Contextual Language Models—0
Metamorphic Adversarial Detection Pipeline for Face Recognition Systems—0
Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base—0
RELiC: Retrieving Evidence for Literary Claims—0
Neural Keyphrase Generation: Analysis and Evaluation—0
PromptBERT: Improving BERT Sentence Embeddings with Prompts—0
RoMe: A Robust Metric for Evaluating Natural Language Generation—0
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains—0
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching—0
MarkBERT: Marking Word Boundaries Improves Chinese BERTCode1
NEWSFARM: the Largest Chinese Corpus for Long News Summarization—0
ConTFV: A Contrastive Learning Framework for Table-based Fact Verification—0
Few-shot Named Entity Recognition with Joint Token and Sentence Awareness—0
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback—0
Training Cross-Lingual embeddings for Setswana and SepediCode0
MNet-Sim: A Multi-layered Semantic Similarity Network to Evaluate Sentence Similarity—0
A text autoencoder from transformer for fast encoding language representation—0
Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation—0
Effective and Imperceptible Adversarial Textual Attack via Multi-objectivizationCode0
Assessing Effectiveness of Using Internal Signals for Check-Worthy Claim Identification in Unlabeled Data for Automated Fact-Checking—0
A Fine-Grained Analysis of BERTScore—0
Cross-lingual Sentence Embedding using Multi-Task Learning—0
UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings—0
Semantic Alignment with Calibrated Similarity for Multilingual Sentence Embedding—0
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection MethodCode0
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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