Sentence Embeddings
219 papers with code • 0 benchmarks • 11 datasets
Benchmarks
These leaderboards are used to track progress in Sentence Embeddings
Libraries
Use these libraries to find Sentence Embeddings models and implementationsDatasets
WikiMatrix
ScanRefer Dataset
Discovery
SemEval-2014 Task-10
Subtasks
Most implemented papers
Hyperbolic Neural Networks
dalab/hyperbolic_nn
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NeurIPS 2018
However, the representational power of hyperbolic geometry is not yet on par with Euclidean geometry, mostly because of the absence of corresponding hyperbolic neural network layers.
Categorizing Comparative Sentences
We tackle the tasks of automatically identifying comparative sentences and categorizing the intended preference (e. g., "Python has better NLP libraries than MATLAB" => (Python, better, MATLAB).
ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
daveredrum/ScanRefer
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ECCV 2020
We introduce the task of 3D object localization in RGB-D scans using natural language descriptions.
Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence
MilaNLProc/contextualized-topic-models
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ACL 2021
Topic models extract groups of words from documents, whose interpretation as a topic hopefully allows for a better understanding of the data.
On the Sentence Embeddings from Pre-trained Language Models
bohanli/BERT-flow
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EMNLP 2020
Pre-trained contextual representations like BERT have achieved great success in natural language processing.
Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings
Training and inference on edge devices often requires an efficient setup due to computational limitations.
Siamese CBOW: Optimizing Word Embeddings for Sentence Representations
We present the Siamese Continuous Bag of Words (Siamese CBOW) model, a neural network for efficient estimation of high-quality sentence embeddings.
A Corpus for Multilingual Document Classification in Eight Languages
In addition, we have observed that the class prior distributions differ significantly between the languages.
Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator
dev-chauhan/PQG-pytorch
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COLING 2018
One way to ensure this is by adding constraints for true paraphrase embeddings to be close and unrelated paraphrase candidate sentence embeddings to be far.
Hateminers : Detecting Hate speech against Women
With the online proliferation of hate speech, there is an urgent need for systems that can detect such harmful content.
