Sentence Similarity
66 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Sentence Similarity
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
BIOSSES
Most implemented papers
SentEval: An Evaluation Toolkit for Universal Sentence Representations
facebookresearch/SentEval
•
•
LREC 2018
We introduce SentEval, a toolkit for evaluating the quality of universal sentence representations.
Calculating the similarity between words and sentences using a lexical database and corpus statistics
To calculate the semantic similarity between words and sentences, the proposed method follows an edge-based approach using a lexical database.
On the Effect of Dropping Layers of Pre-trained Transformer Models
Transformer-based NLP models are trained using hundreds of millions or even billions of parameters, limiting their applicability in computationally constrained environments.
Generating Sentences by Editing Prototypes
kelvinguu/neural-editor
•
•
TACL 2018
We propose a new generative model of sentences that first samples a prototype sentence from the training corpus and then edits it into a new sentence.
Sentence Ordering and Coherence Modeling using Recurrent Neural Networks
shrimai/Topological-Sort-for-Sentence-Ordering
•
•
Modeling the structure of coherent texts is a key NLP problem.
Macro Grammars and Holistic Triggering for Efficient Semantic Parsing
To learn a semantic parser from denotations, a learning algorithm must search over a combinatorially large space of logical forms for ones consistent with the annotated denotations.
Context Mover's Distance & Barycenters: Optimal Transport of Contexts for Building Representations
We present a framework for building unsupervised representations of entities and their compositions, where each entity is viewed as a probability distribution rather than a vector embedding.
NeuralWarp: Time-Series Similarity with Warping Networks
Research on time-series similarity measures has emphasized the need for elastic methods which align the indices of pairs of time series and a plethora of non-parametric have been proposed for the task.
Contrastive Learning of Sentence Embeddings from Scratch
hkust-nlp/syncse
•
•
Contrastive learning has been the dominant approach to train state-of-the-art sentence embeddings.
