SOTAVerified

Semantic Textual Similarity

Semantic textual similarity deals with determining how similar two pieces of texts are. This can take the form of assigning a score from 1 to 5. Related tasks are paraphrase or duplicate identification.

Image source: Learning Semantic Textual Similarity from Conversations

Papers

Showing 19011950 of 2381 papers

TitleStatusHype
DalGTM at SemEval-2016 Task 1: Importance-Aware Compositional Approach to Short Text Similarity0
IHS-RD-Belarus at SemEval-2016 Task 1: Multistage Approach for Measuring Semantic Similarity0
VCU at Semeval-2016 Task 14: Evaluating definitional-based similarity measure for semantic taxonomy enrichment0
VENSESEVAL at Semeval-2016 Task 2 iSTS - with a full-fledged rule-based approach0
Fast and Easy Short Answer Grading with High Accuracy0
Pairwise Word Interaction Modeling with Deep Neural Networks for Semantic Similarity Measurement0
UTA DLNLP at SemEval-2016 Task 1: Semantic Textual Similarity: A Unified Framework for Semantic Processing and Evaluation0
HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity0
iUBC at SemEval-2016 Task 2: RNNs and LSTMs for interpretable STS0
FBK-HLT-NLP at SemEval-2016 Task 2: A Multitask, Deep Learning Approach for Interpretable Semantic Textual Similarity0
DTSim at SemEval-2016 Task 1: Semantic Similarity Model Including Multi-Level Alignment and Vector-Based Compositional Semantics0
Rev at SemEval-2016 Task 2: Aligning Chunks by Lexical, Part of Speech and Semantic Equivalence0
NORMAS at SemEval-2016 Task 1: SEMSIM: A Multi-Feature Approach to Semantic Text Similarity0
NaCTeM at SemEval-2016 Task 1: Inferring sentence-level semantic similarity from an ensemble of complementary lexical and sentence-level features0
ASOBEK at SemEval-2016 Task 1: Sentence Representation with Character N-gram Embeddings for Semantic Textual Similarity0
BattRAE: Bidimensional Attention-Based Recursive Autoencoders for Learning Bilingual Phrase EmbeddingsCode0
Problems With Evaluation of Word Embeddings Using Word Similarity Tasks0
IISCNLP at SemEval-2016 Task 2: Interpretable STS with ILP based Multiple Chunk AlignerCode0
What does this Emoji Mean? A Vector Space Skip-Gram Model for Twitter Emojis0
A sense-based lexicon of count and mass expressions: The Bochum English Countability Lexicon0
Cognitively Motivated Distributional Representations of Meaning0
SemAligner: A Method and Tool for Aligning Chunks with Semantic Relation Types and Semantic Similarity Scores0
From Interoperable Annotations towards Interoperable Resources: A Multilingual Approach to the Analysis of Discourse0
Building Concept Graphs from Monolingual Dictionary Entries0
Typology of Adjectives Benchmark for Compositional Distributional Models0
Extending Monolingual Semantic Textual Similarity Task to Multiple Cross-lingual Settings0
Evaluating Lexical Similarity to build Sentiment Similarity0
Image Colorization Using a Deep Convolutional Neural Network0
Scalable Gaussian Processes for Supervised Hashing0
Capturing Semantic Similarity for Entity Linking with Convolutional Neural NetworksCode0
Evaluating semantic models with word-sentence relatedness0
Counter-fitting Word Vectors to Linguistic ConstraintsCode0
Gibberish Semantics: How Good is Russian Twitter in Word Semantic Similarity Task?0
Column sampling based discrete supervised hashing0
A Joint Model for Answer Sentence Ranking and Answer Extraction0
IndoWordNet::Similarity- Computing Semantic Similarity and Relatedness using IndoWordNet0
Comparing Apples to Apple: The Effects of Stemmers on Topic Models0
Mapping it differently: A solution to the linking challenges0
Word Embeddings as Metric Recovery in Semantic Spaces0
Semantic Textual Similarity in Quality Estimation0
Common Variable Learning and Invariant Representation Learning using Siamese Neural Networks0
Learning Semantic Similarity for Very Short Texts0
Cognate Identification using Machine Translation0
Let Sense Bags Do Talking: Cross Lingual Word Semantic Similarity for English and Hindi0
Joint Word Representation Learning using a Corpus and a Semantic LexiconCode0
Computing Semantic Text Similarity Using Rich Features0
Pivot-Based Topic Models for Low-Resource Lexicon Extraction0
Attribute-Graph: A Graph based approach to Image Ranking0
Zero-Shot Learning via Semantic Similarity Embedding0
Predicting Machine Translation Adequacy with Document Embeddings0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1SMARTRoBERTaDev Pearson Correlation92.8Unverified
2DeBERTa (large)Accuracy92.5Unverified
3SMART-BERTDev Pearson Correlation90Unverified
4MT-DNN-SMARTPearson Correlation0.93Unverified
5StructBERTRoBERTa ensemblePearson Correlation0.93Unverified
6Mnet-SimPearson Correlation0.93Unverified
7XLNet (single model)Pearson Correlation0.93Unverified
8T5-11BPearson Correlation0.93Unverified
9ALBERTPearson Correlation0.93Unverified
10RoBERTaPearson Correlation0.92Unverified
#ModelMetricClaimedVerifiedStatus
1AnglE-UAESpearman Correlation84.54Unverified
2ST5-XXLSpearman Correlation82.63Unverified
3ST5-LargeSpearman Correlation81.83Unverified
4ST5-XLSpearman Correlation81.66Unverified
5ST5-BaseSpearman Correlation81.14Unverified
6MPNet-multilingualSpearman Correlation80.73Unverified
7SGPT-5.8B-nliSpearman Correlation80.53Unverified
8MPNetSpearman Correlation80.28Unverified
9MiniLM-L12Spearman Correlation79.8Unverified
10SimCSE-BERT-supSpearman Correlation79.12Unverified
#ModelMetricClaimedVerifiedStatus
1MT-DNN-SMARTAccuracy93.7Unverified
2ALBERTAccuracy93.4Unverified
3RoBERTa (ensemble)Accuracy92.3Unverified
4BigBirdF191.5Unverified
5StructBERTRoBERTa ensembleAccuracy91.5Unverified
6FLOATER-largeAccuracy91.4Unverified
7SMARTAccuracy91.3Unverified
8RoBERTa-large 355M (MLP quantized vector-wise, fine-tuned)Accuracy91Unverified
9RoBERTa-large 355M + Entailment as Few-shot LearnerF191Unverified
10SpanBERTAccuracy90.9Unverified
#ModelMetricClaimedVerifiedStatus
1PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.82Unverified
2PromptEOL+CSE+LLaMA-30BSpearman Correlation0.82Unverified
3PromptEOL+CSE+OPT-13BSpearman Correlation0.82Unverified
4SimCSE-RoBERTalargeSpearman Correlation0.82Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.81Unverified
6SentenceBERTSpearman Correlation0.75Unverified
7SRoBERTa-NLI-baseSpearman Correlation0.74Unverified
8SRoBERTa-NLI-largeSpearman Correlation0.74Unverified
9Dino (STS/̄🦕)Spearman Correlation0.74Unverified
10SBERT-NLI-largeSpearman Correlation0.74Unverified
#ModelMetricClaimedVerifiedStatus
1AnglE-LLaMA-7BSpearman Correlation0.91Unverified
2AnglE-LLaMA-7B-v2Spearman Correlation0.91Unverified
3PromptEOL+CSE+LLaMA-30BSpearman Correlation0.9Unverified
4PromptEOL+CSE+OPT-13BSpearman Correlation0.9Unverified
5PromptEOL+CSE+OPT-2.7BSpearman Correlation0.9Unverified
6PromCSE-RoBERTa-large (0.355B)Spearman Correlation0.89Unverified
7Trans-Encoder-BERT-large-bi (unsup.)Spearman Correlation0.89Unverified
8Trans-Encoder-BERT-large-cross (unsup.)Spearman Correlation0.88Unverified
9Trans-Encoder-RoBERTa-large-cross (unsup.)Spearman Correlation0.88Unverified
10SimCSE-RoBERTa-largeSpearman Correlation0.87Unverified