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 851–900 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
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
UnClE: Explicitly Leveraging Semantic Similarity to Reduce the Parameters of Word Embeddings—0
Locality Preserving Sentence Encoding—0
Searching for Legal Documents at Paragraph Level: Automating Label Generation and Use of an Extended Attention Mask for Boosting Neural Models of Semantic Similarity—0
GiBERT: Enhancing BERT with Linguistic Information using a Lightweight Gated Injection MethodCode0
A Deep Decomposable Model for Disentangling Syntax and Semantics in Sentence Representation—0
Anaphora Resolution in Dialogue: Description of the DFKI-TalkingRobots System for the CODI-CRAC 2021 Shared-Task—0
Semantic Alignment with Calibrated Similarity for Multilingual Sentence Embedding—0
A Fine-Grained Analysis of BERTScore—0
Cross-lingual Sentence Embedding using Multi-Task Learning—0
Unsupervised Full Constituency Parsing with Neighboring Distribution Divergence—0
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference—0
MIC: Model-agnostic Integrated Cross-channel Recommenders—0
Two-stage Voice Application Recommender System for Unhandled Utterances in Intelligent Personal Assistant—0
FarFetched: An Entity-centric Approach for Reasoning on Textually Represented Environments—0
Doubly-Trained Adversarial Data Augmentation for Neural Machine TranslationCode0
Avoiding Forgetting and Allowing Forward Transfer in Continual Learning via Sparse NetworksCode0
An Isotropy Analysis in the Multilingual BERT Embedding SpaceCode0
Efficient Multi-Modal Embeddings from Structured Data—0
Using Single-Trial Representational Similarity Analysis with EEG to track semantic similarity in emotional word processing—0
Contextualized Semantic Distance between Highly Overlapped TextsCode0
Neural sentence embedding models for semantic similarity estimation in the biomedical domainCode0
What Makes Better Augmentation Strategies? Augment Difficult but Not too Different—0
Agnostic Personalized Federated Learning with Kernel Factorization—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