Sentence Embeddings

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

11 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

4 subtasks in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

30 shown of 255 papers with code (615 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
  27 Aug 2019 64 repositories listed Syntology ran 20 of 58 samples · 38 unverified · 11 pointer-only (licence)
  However, it requires that both sentences are fed into the network, which causes a massive computational overhead: Finding the most similar pair in a collection of 10, 000 sentences requires about 50 million inference…
• Universal Sentence Encoder
  29 Mar 2018 24 repositories listed Syntology ran 1 of 22 samples · 21 unverified · 1 pointer-only (licence)
  For both variants, we investigate and report the relationship between model complexity, resource consumption, the availability of transfer task training data, and task performance.
• SimCSE: Simple Contrastive Learning of Sentence Embeddings
  18 Apr 2021 23 repositories listed Syntology ran 17 of 30 samples · 13 unverified · 19 pointer-only (licence)
  This paper presents SimCSE, a simple contrastive learning framework that greatly advances state-of-the-art sentence embeddings.
• Evaluation of sentence embeddings in downstream and linguistic probing tasks
  16 Jun 2018 14 repositories listed
  Despite the fast developmental pace of new sentence embedding methods, it is still challenging to find comprehensive evaluations of these different techniques.
• Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
  26 Dec 2018 13 repositories listed Syntology ran 4 of 10 samples · 6 unverified · 4 pointer-only (licence)
  We introduce an architecture to learn joint multilingual sentence representations for 93 languages, belonging to more than 30 different families and written in 28 different scripts.
• Making Monolingual Sentence Embeddings Multilingual using Knowledge Distillation
  21 Apr 2020 12 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  The training is based on the idea that a translated sentence should be mapped to the same location in the vector space as the original sentence.
• Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings
  3 Nov 2018 9 repositories listed
  Machine translation is highly sensitive to the size and quality of the training data, which has led to an increasing interest in collecting and filtering large parallel corpora.
• TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning
  14 Apr 2021 6 repositories listed Syntology ran 0 of 4 samples · 4 unverified
  Learning sentence embeddings often requires a large amount of labeled data.
• Language-agnostic BERT Sentence Embedding
  3 Jul 2020 6 repositories listed
  While BERT is an effective method for learning monolingual sentence embeddings for semantic similarity and embedding based transfer learning (Reimers and Gurevych, 2019), BERT based cross-lingual sentence embeddings…
• WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia
  10 Jul 2019 6 repositories listed Syntology ran 1 of 3 samples · 2 unverified
  We present an approach based on multilingual sentence embeddings to automatically extract parallel sentences from the content of Wikipedia articles in 85 languages, including several dialects or low-resource languages.
• What you can cram into a single vector: Probing sentence embeddings for linguistic properties
  3 May 2018 6 repositories listed Syntology ran 3 of 3 samples · 0 unverified · 3 pointer-only (licence)
  Although much effort has recently been devoted to training high-quality sentence embeddings, we still have a poor understanding of what they are capturing.
• Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features
  7 Mar 2017 5 repositories listed
  The recent tremendous success of unsupervised word embeddings in a multitude of applications raises the obvious question if similar methods could be derived to improve embeddings (i.
• ColBERT: Using BERT Sentence Embedding in Parallel Neural Networks for Computational Humor
  27 Apr 2020 4 repositories listed
  The proposed technical method initiates by separating sentences of the given text and utilizing the BERT model to generate embeddings for each one.
• Simple and Effective Paraphrastic Similarity from Parallel Translations
  30 Sep 2019 4 repositories listed Syntology ran 1 of 9 samples · 8 unverified
  We present a model and methodology for learning paraphrastic sentence embeddings directly from bitext, removing the time-consuming intermediate step of creating paraphrase corpora.
• BioSentVec: creating sentence embeddings for biomedical texts
  22 Oct 2018 4 repositories listed
  Sentence embeddings have become an essential part of today's natural language processing (NLP) systems, especially together advanced deep learning methods.
• Learning Natural Language Inference with LSTM
  30 Dec 2015 4 repositories listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  On the SNLI corpus, our model achieves an accuracy of 86.
• Rediscovering Hashed Random Projections for Efficient Quantization of Contextualized Sentence Embeddings
  13 Mar 2023 3 repositories listed
  Training and inference on edge devices often requires an efficient setup due to computational limitations.
• On the Sentence Embeddings from Pre-trained Language Models
  2 Nov 2020 3 repositories listed Syntology ran 3 of 3 samples · 0 unverified
  Pre-trained contextual representations like BERT have achieved great success in natural language processing.
• Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence
  8 Apr 2020 3 repositories listed Syntology ran 0 of 1 samples · 1 unverified
  Topic models extract groups of words from documents, whose interpretation as a topic hopefully allows for a better understanding of the data.
• ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
  18 Dec 2019 3 repositories listed
  We introduce the task of 3D object localization in RGB-D scans using natural language descriptions.
• Augmenting Data with Mixup for Sentence Classification: An Empirical Study
  22 May 2019 3 repositories listed Syntology ran 0 of 2 samples · 2 unverified
  Mixup, a recent proposed data augmentation method through linearly interpolating inputs and modeling targets of random samples, has demonstrated its capability of significantly improving the predictive accuracy of the…
• Categorizing Comparative Sentences
  17 Sep 2018 3 repositories listed
  We tackle the tasks of automatically identifying comparative sentences and categorizing the intended preference (e.
• Hyperbolic Neural Networks
  23 May 2018 3 repositories listed Syntology ran 4 of 5 samples · 1 unverified · 3 pointer-only (licence)
  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.
• Simple Unsupervised Keyphrase Extraction using Sentence Embeddings
  13 Jan 2018 3 repositories listed
  EmbedRank achieves higher F-scores than graph-based state of the art systems on standard datasets and is suitable for real-time processing of large amounts of Web data.
• DisSent: Sentence Representation Learning from Explicit Discourse Relations
  12 Oct 2017 3 repositories listed
  Learning effective representations of sentences is one of the core missions of natural language understanding.
• Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents
  8 Nov 2016 3 repositories listed
  Moreover, unlike other CNN-based models that analyze sentences locally by sliding windows, our system captures both the dependency information within each sentence and relationships across sentences in the same document.
• Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks
  15 Aug 2016 3 repositories listed
  The analysis sheds light on the relative strengths of different sentence embedding methods with respect to these low level prediction tasks, and on the effect of the encoded vector's dimensionality on the resulting…
• M2D2: Exploring General-purpose Audio-Language Representations Beyond CLAP
  28 Mar 2025 2 repositories listed
  In the second stage, it learns CLAP features using the audio features learned from the LLM-based embeddings.
• Unsupervised Extractive Dialogue Summarization in Hyperdimensional Space
  16 May 2024 2 repositories listed
  We present HyperSum, an extractive summarization framework that captures both the efficiency of traditional lexical summarization and the accuracy of contemporary neural approaches.
• Simple Techniques for Enhancing Sentence Embeddings in Generative Language Models
  5 Apr 2024 2 repositories listed
  Sentence Embedding stands as a fundamental task within the realm of Natural Language Processing, finding extensive application in search engines, expert systems, and question-and-answer platforms.

Syntology lines on 14 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.