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 1401–1450 of 1564 papers

TitleStatusHype
Exploring Adequacy Errors in Neural Machine Translation with the Help of Cross-Language Aligned Word Embeddings—0
Exploring Language Patterns of Prompts in Text-to-Image Generation and Their Impact on Visual Diversity—0
Exploring Semantic Clustering in Deep Reinforcement Learning for Video Games—0
Exploring the Correlation between Human and Machine Evaluation of Simultaneous Speech Translation—0
Exploring the effect of semantic similarity for Phrase-based Machine Translation—0
Exploring Word Embeddings for Unsupervised Textual User-Generated Content Normalization—0
Exponential Family Embeddings—0
Probing Cross-Lingual Lexical Knowledge from Multilingual Sentence Encoders—0
On Length Divergence Bias in Textual Matching Models—0
Extending Monolingual Semantic Textual Similarity Task to Multiple Cross-lingual Settings—0
Extrapolating Binder Style Word Embeddings to New Words—0
FacTeR-Check: Semi-automated fact-checking through Semantic Similarity and Natural Language Inference—0
FarFetched: An Entity-centric Approach for Reasoning on Textually Represented Environments—0
Farmer-Bot: An Interactive Bot for Farmers—0
FarSSiBERT: A Novel Transformer-based Model for Semantic Similarity Measurement of Persian Social Networks Informal Texts—0
FAST-Splat: Fast, Ambiguity-Free Semantics Transfer in Gaussian Splatting—0
FBK-HLT: An Effective System for Paraphrase Identification and Semantic Similarity in Twitter—0
FBK HLT-MT at SemEval-2016 Task 1: Cross-lingual Semantic Similarity Measurement Using Quality Estimation Features and Compositional Bilingual Word Embeddings—0
FBK-TR: Applying SVM with Multiple Linguistic Features for Cross-Level Semantic Similarity—0
Feature Engineering in Learning-to-Rank for Community Question Answering Task—0
FedDTPT: Federated Discrete and Transferable Prompt Tuning for Black-Box Large Language Models—0
Feedback-Aware Monte Carlo Tree Search for Efficient Information Seeking in Goal-Oriented Conversations—0
Feedforward Legendre Memory Unit—0
Few-Shot Joint Multimodal Entity-Relation Extraction via Knowledge-Enhanced Cross-modal Prompt Model—0
Few-shot Named Entity Recognition with Joint Token and Sentence Awareness—0
Figure Me Out: A Gold Standard Dataset for Metaphor Interpretation—0
FILM: A Fast, Interpretable, and Low-rank Metric Learning Approach for Sentence Matching—0
Finding Salient Context based on Semantic Matching for Relevance Ranking—0
Finding the Topic of a Set of Images—0
FindMeIfYouCan: Bringing Open Set metrics to near , far and farther Out-of-Distribution Object Detection—0
Fine-Grained ECG-Text Contrastive Learning via Waveform Understanding Enhancement—0
Fine-Grained Guidance for Retrievers: Leveraging LLMs' Feedback in Retrieval-Augmented Generation—0
FlowDreamer: A RGB-D World Model with Flow-based Motion Representations for Robot Manipulation—0
Fountain -- an intelligent contextual assistant combining knowledge representation and language models for manufacturing risk identification—0
Frequency-based Distortions in Contextualized Word Embeddings—0
Friend Recommendation based on Hashtags Analysis—0
From Disjoint Sets to Parallel Data to Train Seq2Seq Models for Sentiment Transfer—0
From Interoperable Annotations towards Interoperable Resources: A Multilingual Approach to the Analysis of Discourse—0
From Stance to Concern: Adaptation of Propositional Analysis to New Tasks and Domains—0
Fully Transformer-Equipped Architecture for End-to-End Referring Video Object Segmentation—0
GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training—0
GeAR: Generation Augmented Retrieval—0
GenderBias-VL: Benchmarking Gender Bias in Vision Language Models via Counterfactual Probing—0
Generalised Differential Privacy for Text Document Processing—0
Generalized Semantic Preserving Hashing for N-Label Cross-Modal Retrieval—0
Generating Knowledge Graphs from Large Language Models: A Comparative Study of GPT-4, LLaMA 2, and BERT—0
Generative Models for Simulating Mobility Trajectories—0
Generative Semantic Communication for Joint Image Transmission and Segmentation—0
Gextext: Disease Network Extraction from Biomedical Literature—0
Gibberish Semantics: How Good is Russian Twitter in Word Semantic Similarity Task?—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