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
Simbow : une mesure de similarit\'e s\'emantique entre textes (Simbow : a semantic similarity metric between texts)—0
SimDoc: Topic Sequence Alignment based Document Similarity Framework—0
Similarity between Learning Outcomes from Course Objectives using Semantic Analysis, Blooms taxonomy and Corpus statistics—0
Similarity Measures for the Detection of Clinical Conditions with Verbal Fluency Tasks—0
Similarity = Value? Consultation Value Assessment and Alignment for Personalized Search—0
Sinhala Short Sentence Similarity Calculation using Corpus-Based and Knowledge-Based Similarity Measures—0
SiReRAG: Indexing Similar and Related Information for Multihop Reasoning—0
SNLP at TextGraphs 2022 Shared Task: Unsupervised Natural Language Premise Selection in Mathematical Texts Using Sentence-MPNet—0
Soft Seeded SSL Graphs for Unsupervised Semantic Similarity-based Retrieval—0
Sorting through the noise: Testing robustness of information processing in pre-trained language models—0
So similar and yet incompatible: Toward the automated identification of semantically compatible words—0
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM—0
Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation—0
Spatial Multi-Arrangement for Clustering and Multi-way Similarity Dataset Construction—0
Speaker Clustering in Textual Dialogue with Pairwise Utterance Relation and Cross-corpus Dialogue Act Supervision—0
Specializing Distributional Vectors of All Words for Lexical Entailment—0
Spectral Hashing—0
SSAS: Semantic Similarity for Abstractive Summarization—0
SSDH: Semi-supervised Deep Hashing for Large Scale Image Retrieval—0
SSMT:A Machine Translation Evaluation View To Paragraph-to-Sentence Semantic Similarity—0
Statistical Hypothesis Testing for Auditing Robustness in Language Models—0
Statistical Mechanics of Semantic Compression—0
Stay Hungry, Stay Foolish: On the Extended Reading Articles Generation with LLMs—0
Stealthy LLM-Driven Data Poisoning Attacks Against Embedding-Based Retrieval-Augmented Recommender Systems—0
Story Cloze Ending Selection Baselines and Data Examination—0
Structure and Semantics Preserving Document Representations—0
Studying Lobby Influence in the European Parliament—0
Style-transfer and Paraphrase: Looking for a Sensible Semantic Similarity Metric—0
Suggesting Relevant Questions for a Query Using Statistical Natural Language Processing Technique—0
SuperDisco: Super-Class Discovery Improves Visual Recognition for the Long-Tail—0
Superpixel-Based Building Damage Detection from Post-earthquake Imagery Using Deep Neural Networks—0
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation—0
Supervised Machine Learning Algorithm for Detecting Consistency between Reported Findings and the Conclusions of Mammography Reports—0
SURF: Semantic-level Unsupervised Reward Function for Machine Translation—0
Graded Suspiciousness of Adversarial Texts to Human—0
Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity—0
System Description for the CommonGen task with the POINTER model—0
T3: A Novel Zero-shot Transfer Learning Framework Iteratively Training on an Assistant Task for a Target Task—0
TabSim: A Siamese Neural Network for Accurate Estimation of Table Similarity—0
TakeLab-QA at SemEval-2017 Task 3: Classification Experiments for Answer Retrieval in Community QA—0
Talla at SemEval-2017 Task 3: Identifying Similar Questions Through Paraphrase Detection—0
Targeted and Troublesome: Tracking and Advertising on Children's Websites—0
Task Formulation Matters When Learning Continuously: A Case Study in Visual Question Answering—0
Task-Oriented Intrinsic Evaluation of Semantic Textual Similarity—0
Team dina at SemEval-2022 Task 8: Pre-trained Language Models as Baselines for Semantic Similarity—0
Team GPLSI. Approach for automated fact checking—0
Temporal Analysis of Entity Relatedness and its Evolution using Wikipedia and DBpedia—0
Term Based Semantic Clusters for Very Short Text Classification—0
Testing the limits of unsupervised learning for semantic similarity—0
TexIm FAST: Text-to-Image Representation for Semantic Similarity Evaluation using Transformers—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