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 1501–1550 of 1564 papers

TitleStatusHype
Learning Composition Models for Phrase EmbeddingsCode0
A web-based tool to Analyze Semantic Similarity Networks—0
Probabilistic Models of Cross-Lingual Semantic Similarity in Context Based on Latent Cross-Lingual Concepts Induced from Comparable Data—0
SemEval-2014 Task 3: Cross-Level Semantic Similarity—0
ECNU: Leveraging on Ensemble of Heterogeneous Features and Information Enrichment for Cross Level Semantic Similarity Estimation—0
Duluth : Measuring Cross-Level Semantic Similarity with First and Second Order Dictionary Overlaps—0
The Meaning Factory: Formal Semantics for Recognizing Textual Entailment and Determining Semantic Similarity—0
Identifying semantic relations in a specialized corpus through distributional analysis of a cooccurrence tensor—0
SAIL: Sentiment Analysis using Semantic Similarity and Contrast Features—0
RTM-DCU: Referential Translation Machines for Semantic Similarity—0
HulTech: A General Purpose System for Cross-Level Semantic Similarity based on Anchor Web Counts—0
DIT: Summarisation and Semantic Expansion in Evaluating Semantic Similarity—0
FBK-TR: Applying SVM with Multiple Linguistic Features for Cross-Level Semantic Similarity—0
JU-Evora: A Graph Based Cross-Level Semantic Similarity Analysis using Discourse Information—0
SemantiKLUE: Robust Semantic Similarity at Multiple Levels Using Maximum Weight Matching—0
UoW: NLP techniques developed at the University of Wolverhampton for Semantic Similarity and Textual EntailmentCode0
AI-KU: Using Co-Occurrence Modeling for Semantic Similarity—0
SSMT:A Machine Translation Evaluation View To Paragraph-to-Sentence Semantic Similarity—0
NTNU: Measuring Semantic Similarity with Sublexical Feature Representations and Soft Cardinality—0
Weakly Supervised Multiclass Video Segmentation—0
Predicting the relevance of distributional semantic similarity with contextual information—0
Creative language explorations through a high-expressivity N-grams query language—0
On Paraphrase Identification Corpora—0
Word Semantic Similarity for Morphologically Rich Languages—0
Using Entropy Estimates for DAG-Based Ontologies—0
An evaluative baseline for geo-semantic relatedness and similarity—0
Semantic Similarity Measures Applied to an Ontology for Human-Like Interaction—0
The semantic similarity ensemble—0
What implementation and translation teach us: the case of semantic similarity measures in wordnets—0
Evaluation on Second Language Collocational Congruency with Computational Semantic Similarity—0
Description and Evaluation of Semantic Similarity Measures ApproachesCode0
Semantic Measures for the Comparison of Units of Language, Concepts or Instances from Text and Knowledge Base Analysis—0
Reconstructing Big Semantic Similarity Networks—0
A Secure and Comparable Text Encryption Algorithm—0
Align, Disambiguate and Walk: A Unified Approach for Measuring Semantic Similarity—0
Using WordNet and Semantic Similarity for Bilingual Terminology Mining from Comparable Corpora—0
SEMILAR: The Semantic Similarity Toolkit—0
Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction—0
DeepPurple: Lexical, String and Affective Feature Fusion for Sentence-Level Semantic Similarity Estimation—0
CNGL-CORE: Referential Translation Machines for Measuring Semantic Similarity—0
Cross-Lingual Semantic Similarity of Words as the Similarity of Their Semantic Word Responses—0
Bringing Semantics into Focus Using Visual Abstraction—0
HsH: Estimating Semantic Similarity of Words and Short Phrases with Frequency Normalized Distance Measures—0
NTNU-CORE: Combining strong features for semantic similarity—0
CPN-CORE: A Text Semantic Similarity System Infused with Opinion Knowledge—0
MELODI: Semantic Similarity of Words and Compositional Phrases using Latent Vector Weighting—0
Combinaison d'information visuelle, conceptuelle, et contextuelle pour la construction automatique de hierarchies semantiques adaptees a l'annotation d'images—0
Semantic Similarity Computation for Abstract and Concrete Nouns Using Network-based Distributional Semantic Models—0
Hamming Distance Metric Learning—0
Multimodal Learning with Deep Boltzmann Machines—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