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 851–875 of 1564 papers

TitleStatusHype
DIBERT: Dependency Injected Bidirectional Encoder Representations from TransformersCode0
Cross-Domain Language Modeling: An Empirical Investigation—0
Cross-lingual Alignment of Knowledge Graph Triples with Sentences—0
Contrastive Learning of Sentence Representations—0
Classifying Verses of the Quran using Doc2vec—0
Bilingual Topic Models for Comparable Corpora—0
3D Compositional Zero-shot Learning with DeCompositional Consensus—0
Code Clone Detection based on Event Embedding and Event Dependency—0
Using Distributional Principles for the Semantic Study of Contextual Language Models—0
Metamorphic Adversarial Detection Pipeline for Face Recognition Systems—0
RELiC: Retrieving Evidence for Literary Claims—0
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains—0
ConTFV: A Contrastive Learning Framework for Table-based Fact Verification—0
PromptBERT: Improving BERT Sentence Embeddings with Prompts—0
Multi-stage Distillation Framework for Cross-Lingual Semantic Similarity Matching—0
Few-shot Named Entity Recognition with Joint Token and Sentence Awareness—0
RoMe: A Robust Metric for Evaluating Natural Language Generation—0
Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base—0
Neural Keyphrase Generation: Analysis and Evaluation—0
NEWSFARM: the Largest Chinese Corpus for Long News Summarization—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
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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